Check results for 'censReg'

using R version 2.15.3 (2013-03-01)
using platform: i386-w64-mingw32 (32-bit)
using session charset: ISO8859-1
checking for file 'censReg/DESCRIPTION' ... OK
this is package 'censReg' version '0.5-16'
checking package namespace information ... OK
checking package dependencies ... OK
checking if this is a source package ... OK
checking if there is a namespace ... OK
checking whether package 'censReg' can be installed ... OK
checking installed package size ... OK
checking package directory ... OK
checking for portable file names ... OK
checking DESCRIPTION meta-information ... OK
checking top-level files ... OK
checking for left-over files ... OK
checking index information ... OK
checking package subdirectories ... OK
checking R files for non-ASCII characters ... OK
checking R files for syntax errors ... OK
loading checks for arch 'i386'
** checking whether the package can be loaded ... OK
** checking whether the package can be loaded with stated dependencies ... OK
** checking whether the package can be unloaded cleanly ... OK
** checking whether the namespace can be loaded with stated dependencies ... OK
** checking whether the namespace can be unloaded cleanly ... OK
** checking loading without being on the library search path ... OK
loading checks for arch 'x64'
** checking whether the package can be loaded ... OK
** checking whether the package can be loaded with stated dependencies ... OK
** checking whether the package can be unloaded cleanly ... OK
** checking whether the namespace can be loaded with stated dependencies ... OK
** checking whether the namespace can be unloaded cleanly ... OK
** checking loading without being on the library search path ... OK
checking for unstated dependencies in R code ... OK
checking S3 generic/method consistency ... OK
checking replacement functions ... OK
checking foreign function calls ... OK
checking R code for possible problems ... NOTE
censReg: no visible binding for global variable 'validObs2'
checking Rd files ... OK
checking Rd metadata ... OK
checking Rd cross-references ... OK
checking for missing documentation entries ... OK
checking for code/documentation mismatches ... OK
checking Rd \usage sections ... OK
checking Rd contents ... OK
checking for unstated dependencies in examples ... OK
checking sizes of PDF files under 'inst/doc' ... OK
checking installed files from 'inst/doc' ... OK
checking examples ...
** running examples for arch 'i386' ... OK
** running examples for arch 'x64' ... OK
checking for unstated dependencies in tests ... OK
checking tests ...
** running tests for arch 'i386' OK
Running 'censRegPanelLargerTest.R'
Comparing 'censRegPanelLargerTest.Rout' to 'censRegPanelLargerTest.Rout.save' ... OK
Running 'censRegPanelTest.R'
Comparing 'censRegPanelTest.Rout' to 'censRegPanelTest.Rout.save' ...127c127
< (Intercept) 0.225109672 -0.020570168 -0.254602886 -0.023824162 -0.002973952
---
> (Intercept) 0.225109671 -0.020570168 -0.254602886 -0.023824162 -0.002973952
129c129
< x2 -0.254602886 0.008562225 0.454125882 0.017179542 0.001505438
---
> x2 -0.254602886 0.008562225 0.454125881 0.017179542 0.001505438
134c134
< (Intercept) 0.225109672 -0.020570168 -0.254602886 -0.020929366 -0.002937279
---
> (Intercept) 0.225109671 -0.020570168 -0.254602886 -0.020929366 -0.002937279
136c136
< x2 -0.254602886 0.008562225 0.454125882 0.015092113 0.001486874
---
> x2 -0.254602886 0.008562225 0.454125881 0.015092113 0.001486874
143c143
< x2 2.24054376 0.6738886 3.32479829 8.848252e-04
---
> x2 2.24054376 0.6738886 3.32479830 8.848252e-04
172c172
< 1.711570e-11 4.532512e-11 1.345308e-11 8.238271e-12 6.206879e-11
---
> 1.711386e-11 4.533762e-11 1.344722e-11 8.216400e-12 6.207498e-11
606c606
< -0.36911 1.68015 2.24600 -0.12928 -0.01236
---
> -0.36750 1.67993 2.24379 -0.12947 -0.01241
611c611
< BFGSR maximization, 77 iterations
---
> BFGSR maximization, 78 iterations
613c613
< Log-Likelihood: -73.19886
---
> Log-Likelihood: -73.19883
617,621c617,621
< (Intercept) -0.369108 0.474813 -0.7774 0.4369372
< x1 1.680146 0.209264 8.0288 9.842e-16 ***
< x2 2.245998 0.674085 3.3319 0.0008625 ***
< logSigmaMu -0.129277 0.258023 -0.5010 0.6163505
< logSigmaNu -0.012359 0.129701 -0.0953 0.9240855
---
> (Intercept) -0.367502 0.474613 -0.7743 0.4387426
> x1 1.679929 0.209229 8.0291 9.816e-16 ***
> x2 2.243794 0.673969 3.3292 0.0008709 ***
> logSigmaMu -0.129473 0.258047 -0.5017 0.6158482
> logSigmaNu -0.012409 0.129690 -0.0957 0.9237740
636,640c636,640
< (Intercept) -0.36911 0.47481 -0.777 0.436937
< x1 1.68015 0.20926 8.029 9.84e-16 ***
< x2 2.24600 0.67409 3.332 0.000862 ***
< logSigmaMu -0.12928 0.25802 -0.501 0.616351
< logSigmaNu -0.01236 0.12970 -0.095 0.924086
---
> (Intercept) -0.36750 0.47461 -0.774 0.438743
> x1 1.67993 0.20923 8.029 9.82e-16 ***
> x2 2.24379 0.67397 3.329 0.000871 ***
> logSigmaMu -0.12947 0.25805 -0.502 0.615848
> logSigmaNu -0.01241 0.12969 -0.096 0.923774
644c644
< BFGSR maximization, 77 iterations
---
> BFGSR maximization, 78 iterations
646c646
< Log-likelihood: -73.19886 on 5 Df
---
> Log-likelihood: -73.19883 on 5 Df
650c650
< [1] -73.19886
---
> [1] -73.19883
654c654
< -0.36910836 1.68014583 2.24599762 -0.12927711 -0.01235901
---
> -0.36750163 1.67992931 2.24379444 -0.12947348 -0.01240886
658c658
< 5.352596e-03 1.169384e-03 -9.018679e-03 -8.560106e-05 -1.337046e-03
---
> 0.0014212306 0.0034992596 -0.0064419525 0.0003782988 0.0003341343
662,666c662,666
< (Intercept) -13.311471 -4.095359 -7.3033440 -2.1269569 -1.2949115
< x1 -4.095359 -26.069914 -1.9890076 4.4824435 4.7592683
< x2 -7.303344 -1.989008 -6.2339850 -0.6304277 -0.4540903
< logSigmaMu -2.126957 4.482444 -0.6304277 -16.6736987 -3.7203477
< logSigmaNu -1.294911 4.759268 -0.4540903 -3.7203477 -61.0559995
---
> (Intercept) -13.317517 -4.096146 -7.3057987 -2.1155739 -1.300861
> x1 -4.096146 -26.075639 -1.9898094 4.4840349 4.755412
> x2 -7.305799 -1.989809 -6.2353998 -0.6259168 -0.464233
> logSigmaMu -2.115574 4.484035 -0.6259168 -16.6651955 -3.721179
> logSigmaNu -1.300861 4.755412 -0.4642330 -3.7211788 -61.065093
682c682
< [1] 77
---
> [1] 78
689,703c689,703
< [1,] -0.85233328 0.22409782 -0.07332048 -0.1444583 -0.9660444
< [2,] -1.70308971 0.04704007 -1.19063655 1.6820276 -1.0125995
< [3,] 1.75019297 0.33350547 1.72552704 1.8351025 1.7971930
< [4,] 0.15556441 -0.20302631 -0.43329831 -0.6891120 -1.4295396
< [5,] 0.12975850 0.98324725 0.68782434 -0.6769125 -0.5601235
< [6,] 0.33016850 -0.30642386 0.38397167 -0.4920371 -1.5815772
< [7,] -0.08039312 -3.18569212 -0.23689935 -0.6770289 6.0304740
< [8,] -0.26593011 0.37810790 0.05569887 -0.5388948 -1.1087360
< [9,] 1.14866273 0.59382719 0.30325724 0.1343604 -1.6157978
< [10,] -0.43403711 -0.40523042 -0.15219067 -0.4695123 -1.9368434
< [11,] -0.02791393 1.44977277 -0.64457284 -0.9180573 2.7404764
< [12,] 1.21008680 0.53803063 0.61161857 0.2050522 -1.7337926
< [13,] 0.53640601 -0.22527056 0.33116018 -0.3685656 -1.4085064
< [14,] -1.81446561 -1.30746010 -0.91986987 1.9582376 2.5782059
< [15,] -0.07732445 1.08664366 -0.45728852 -0.8402871 0.2058740
---
> [1,] -0.85278081 0.2247850 -0.07302970 -0.1442070 -0.9634923
> [2,] -1.70342425 0.0476419 -1.19055345 1.6820162 -1.0127268
> [3,] 1.75059965 0.3340379 1.72645582 1.8351650 1.8000202
> [4,] 0.15552297 -0.2026892 -0.43296702 -0.6893599 -1.4315786
> [5,] 0.12953233 0.9838683 0.68846571 -0.6770129 -0.5576955
> [6,] 0.33020957 -0.3070305 0.38415893 -0.4921914 -1.5806796
> [7,] -0.08124385 -3.1854369 -0.23706941 -0.6768114 6.0284476
> [8,] -0.26650783 0.3785437 0.05560267 -0.5386742 -1.1090288
> [9,] 1.14849813 0.5942606 0.30325840 0.1336487 -1.6163416
> [10,] -0.43466534 -0.4056715 -0.15242875 -0.4690608 -1.9368240
> [11,] -0.02815366 1.4492071 -0.64446998 -0.9176305 2.7387662
> [12,] 1.21036511 0.5376472 0.61231215 0.2052291 -1.7342086
> [13,] 0.53592238 -0.2250517 0.33100094 -0.3690601 -1.4085335
> [14,] -1.81473915 -1.3068211 -0.91982779 1.9580283 2.5799493
> [15,] -0.07771403 1.0862084 -0.45735047 -0.8397008 0.2042601
808c808
< 4.63376 1.68002 2.24153 -0.12953 -0.01237
---
> 4.62970 1.67974 2.24826 -0.12967 -0.01247
813c813
< BFGSR maximization, 97 iterations
---
> BFGSR maximization, 75 iterations
815c815
< Log-Likelihood: -73.19882
---
> Log-Likelihood: -73.19889
819,823c819,823
< (Intercept) 4.63376 0.47452 9.7652 < 2.2e-16 ***
< x1 1.68002 0.20923 8.0294 9.797e-16 ***
< x2 2.24153 0.67394 3.3260 0.0008809 ***
< logSigmaMu -0.12953 0.25807 -0.5019 0.6157435
< logSigmaNu -0.01237 0.12970 -0.0954 0.9240123
---
> (Intercept) 4.629702 0.474777 9.7513 < 2.2e-16 ***
> x1 1.679738 0.209226 8.0284 9.878e-16 ***
> x2 2.248262 0.674033 3.3355 0.0008513 ***
> logSigmaMu -0.129673 0.258097 -0.5024 0.6153734
> logSigmaNu -0.012466 0.129691 -0.0961 0.9234264
838,842c838,842
< (Intercept) 4.63376 0.47452 9.765 < 2e-16 ***
< x1 1.68002 0.20923 8.029 9.8e-16 ***
< x2 2.24153 0.67394 3.326 0.000881 ***
< logSigmaMu -0.12953 0.25807 -0.502 0.615744
< logSigmaNu -0.01237 0.12970 -0.095 0.924012
---
> (Intercept) 4.62970 0.47478 9.751 < 2e-16 ***
> x1 1.67974 0.20923 8.028 9.88e-16 ***
> x2 2.24826 0.67403 3.336 0.000851 ***
> logSigmaMu -0.12967 0.25810 -0.502 0.615373
> logSigmaNu -0.01247 0.12969 -0.096 0.923426
846c846
< BFGSR maximization, 97 iterations
---
> BFGSR maximization, 75 iterations
848c848
< Log-likelihood: -73.19882 on 5 Df
---
> Log-likelihood: -73.19889 on 5 Df
852c852
< 4.63376246 1.68001707 2.24153209 -0.12952571 -0.01237044
---
> 4.62970160 1.67973837 2.24826176 -0.12967269 -0.01246575
855c855
< 4.6337625 1.6800171 2.2415321 0.8785120 0.9877058
---
> 4.6297016 1.6797384 2.2482618 0.8783829 0.9876116
858,862c858,862
< (Intercept) 0.225165951 -0.020583363 -0.254657708 -0.023853480 -0.002985424
< x1 -0.020583363 0.043778788 0.008576811 0.013407409 0.002969689
< x2 -0.254657708 0.008576811 0.454190628 0.017201052 0.001531242
< logSigmaMu -0.023853480 0.013407409 0.017201052 0.066602636 -0.002638548
< logSigmaNu -0.002985424 0.002969689 0.001531242 -0.002638548 0.016820867
---
> (Intercept) 0.225413235 -0.020660460 -0.254872111 -0.024058747 -0.003055367
> x1 -0.020660460 0.043775353 0.008670292 0.013424948 0.002954403
> x2 -0.254872111 0.008670292 0.454320177 0.017344565 0.001704899
> logSigmaMu -0.024058747 0.013424948 0.017344565 0.066614118 -0.002644224
> logSigmaNu -0.003055367 0.002954403 0.001704899 -0.002644224 0.016819840
865,869c865,869
< (Intercept) 0.225165951 -0.020583363 -0.254657708 -0.020955569 -0.002948721
< x1 -0.020583363 0.043778788 0.008576811 0.011778569 0.002933179
< x2 -0.254657708 0.008576811 0.454190628 0.015111331 0.001512416
< sigmaMu -0.020955569 0.011778569 0.015111331 0.051402805 -0.002289498
< sigmaNu -0.002948721 0.002933179 0.001512416 -0.002289498 0.016409810
---
> (Intercept) 0.225413235 -0.020660460 -0.254872111 -0.021132792 -0.003017516
> x1 -0.020660460 0.043775353 0.008670292 0.011792244 0.002917803
> x2 -0.254872111 0.008670292 0.454320177 0.015235169 0.001683778
> sigmaMu -0.021132792 0.011792244 0.015235169 0.051396556 -0.002293867
> sigmaNu -0.003017516 0.002917803 0.001683778 -0.002293867 0.016405681
871c871
< 'log Lik.' -73.19882 (df=5)
---
> 'log Lik.' -73.19889 (df=5)
875c875
< [1] -40.0000 156.3976
---
> [1] -40.0000 156.3978
878c878
< [1] -73.19882
---
> [1] -73.19889
882c882
< 4.63376246 1.68001707 2.24153209 -0.12952571 -0.01237044
---
> 4.62970160 1.67973837 2.24826176 -0.12967269 -0.01246575
886c886
< 0.0008149245 0.0004835754 -0.0017309583 0.0002423802 -0.0019848817
---
> 0.007307875 0.009883823 -0.013334396 0.006186400 0.005241257
890,894c890,894
< (Intercept) -13.320521 -4.096280 -7.3069143 -2.1107578 -1.3069132
< x1 -4.096280 -26.074478 -1.9902239 4.4844573 4.7609862
< x2 -7.306914 -1.990224 -6.2357483 -0.6246845 -0.4758205
< logSigmaMu -2.110758 4.484457 -0.6246845 -16.6592672 -3.7226784
< logSigmaNu -1.306913 4.760986 -0.4758205 -3.7226784 -61.0630955
---
> (Intercept) -13.320457 -4.097602 -7.3082204 -2.1336126 -1.2945958
> x1 -4.097602 -26.078345 -1.9899709 4.4821291 4.7426563
> x2 -7.308220 -1.989971 -6.2371991 -0.6321033 -0.4451737
> logSigmaMu -2.133613 4.482129 -0.6321033 -16.6692492 -3.7313402
> logSigmaNu -1.294596 4.742656 -0.4451737 -3.7313402 -61.0632866
910c910
< [1] 97
---
> [1] 75
917,931c917,931
< [1,] -0.85294811 0.22526950 -0.07275625 -0.1440909 -0.9619001
< [2,] -1.70316512 0.04811636 -1.19006133 1.6810632 -1.0131409
< [3,] 1.75075187 0.33376662 1.72717073 1.8352438 1.8029868
< [4,] 0.15578751 -0.20249840 -0.43237535 -0.6891066 -1.4342233
< [5,] 0.12953981 0.98413126 0.68911185 -0.6769813 -0.5554996
< [6,] 0.33036537 -0.30866236 0.38458313 -0.4921393 -1.5798515
< [7,] -0.08183201 -3.18508697 -0.23717406 -0.6766627 6.0272159
< [8,] -0.26672056 0.37876229 0.05564670 -0.5385993 -1.1090950
< [9,] 1.14832219 0.59393182 0.30328483 0.1332516 -1.6170394
< [10,] -0.43491399 -0.40617305 -0.15243763 -0.4688823 -1.9366088
< [11,] -0.02832805 1.44821785 -0.64415100 -0.9173271 2.7356712
< [12,] 1.21045705 0.53694380 0.61301644 0.2055467 -1.7349667
< [13,] 0.53599172 -0.22520839 0.33115776 -0.3690672 -1.4083666
< [14,] -1.81462407 -1.30637862 -0.91961869 1.9574689 2.5808607
< [15,] -0.07786868 1.08535185 -0.45712810 -0.8394749 0.2019725
---
> [1,] -0.85234478 0.22391255 -0.07352168 -0.1446474 -0.9667939
> [2,] -1.70440691 0.04648408 -1.19187418 1.6836901 -1.0116930
> [3,] 1.75174657 0.33535241 1.72587454 1.8367494 1.7958201
> [4,] 0.15579094 -0.20309642 -0.43362554 -0.6891859 -1.4267967
> [5,] 0.12991963 0.98333538 0.68739315 -0.6767124 -0.5620972
> [6,] 0.33086011 -0.30311404 0.38387759 -0.4917565 -1.5823937
> [7,] -0.07989148 -3.18597288 -0.23681005 -0.6769023 6.0302925
> [8,] -0.26596451 0.37804584 0.05556194 -0.5387087 -1.1089943
> [9,] 1.14932504 0.59476363 0.30337878 0.1352853 -1.6147885
> [10,] -0.43413381 -0.40461336 -0.15239416 -0.4696682 -1.9371976
> [11,] -0.02782997 1.45111717 -0.64509342 -0.9178916 2.7444007
> [12,] 1.21065533 0.53914179 0.61120668 0.2059469 -1.7330972
> [13,] 0.53650159 -0.22510291 0.33108334 -0.3687683 -1.4084656
> [14,] -1.81538737 -1.30822940 -0.92054812 1.9588064 2.5784263
> [15,] -0.07753252 1.08785999 -0.45784326 -0.8400504 0.2086192
997c997
< 0.36911 -1.68015 -2.24600 -0.12928 -0.01236
---
> 0.36750 -1.67993 -2.24379 -0.12947 -0.01241
1002c1002
< BFGSR maximization, 77 iterations
---
> BFGSR maximization, 78 iterations
1004c1004
< Log-Likelihood: -73.19886
---
> Log-Likelihood: -73.19883
1008,1012c1008,1012
< (Intercept) 0.369108 0.474813 0.7774 0.4369372
< x1 -1.680146 0.209264 -8.0288 9.842e-16 ***
< x2 -2.245998 0.674085 -3.3319 0.0008625 ***
< logSigmaMu -0.129277 0.258023 -0.5010 0.6163505
< logSigmaNu -0.012359 0.129701 -0.0953 0.9240855
---
> (Intercept) 0.367502 0.474613 0.7743 0.4387426
> x1 -1.679929 0.209229 -8.0291 9.816e-16 ***
> x2 -2.243794 0.673969 -3.3292 0.0008709 ***
> logSigmaMu -0.129473 0.258047 -0.5017 0.6158482
> logSigmaNu -0.012409 0.129690 -0.0957 0.9237740
1028,1032c1028,1032
< (Intercept) 0.36911 0.47481 0.777 0.436937
< x1 -1.68015 0.20926 -8.029 9.84e-16 ***
< x2 -2.24600 0.67409 -3.332 0.000862 ***
< logSigmaMu -0.12928 0.25802 -0.501 0.616351
< logSigmaNu -0.01236 0.12970 -0.095 0.924086
---
> (Intercept) 0.36750 0.47461 0.774 0.438743
> x1 -1.67993 0.20923 -8.029 9.82e-16 ***
> x2 -2.24379 0.67397 -3.329 0.000871 ***
> logSigmaMu -0.12947 0.25805 -0.502 0.615848
> logSigmaNu -0.01241 0.12969 -0.096 0.923774
1036c1036
< BFGSR maximization, 77 iterations
---
> BFGSR maximization, 78 iterations
1038c1038
< Log-likelihood: -73.19886 on 5 Df
---
> Log-likelihood: -73.19883 on 5 Df
1042c1042
< 0.36910836 -1.68014583 -2.24599762 -0.12927711 -0.01235901
---
> 0.36750163 -1.67992931 -2.24379444 -0.12947348 -0.01240886
1045c1045
< 0.3691084 -1.6801458 -2.2459976 0.8787304 0.9877171
---
> 0.3675016 -1.6799293 -2.2437944 0.8785579 0.9876678
1048,1052c1048,1052
< (Intercept) 0.225447750 -0.020649078 -0.254884492 0.023996187 0.003033193
< x1 -0.020649078 0.043791617 0.008645900 -0.013417214 -0.002969603
< x2 -0.254884492 0.008645900 0.454390608 -0.017290491 -0.001646685
< logSigmaMu 0.023996187 -0.013417214 -0.017290491 0.066575915 -0.002630502
< logSigmaNu 0.003033193 -0.002969603 -0.001646685 -0.002630502 0.016822253
---
> (Intercept) 0.22525765 -0.020606031 -0.254727485 0.023900534 0.003010360
> x1 -0.02060603 0.043776857 0.008606687 -0.013409282 -0.002965503
> x2 -0.25472748 0.008606687 0.454234549 -0.017236296 -0.001593108
> logSigmaMu 0.02390053 -0.013409282 -0.017236296 0.066588439 -0.002635405
> logSigmaNu 0.00301036 -0.002965503 -0.001593108 -0.002635405 0.016819519
1055,1059c1055,1059
< (Intercept) 0.225447750 -0.020649078 -0.254884492 0.02108618 0.002995937
< x1 -0.020649078 0.043791617 0.008645900 -0.01179011 -0.002933127
< x2 -0.254884492 0.008645900 0.454390608 -0.01519368 -0.001626459
< sigmaMu 0.021086180 -0.011790114 -0.015193680 0.05140773 -0.002283110
< sigmaNu 0.002995937 -0.002933127 -0.001626459 -0.00228311 0.016411538
---
> (Intercept) 0.225257647 -0.020606031 -0.254727485 0.020998003 0.002973236
> x1 -0.020606031 0.043776857 0.008606687 -0.011780830 -0.002928932
> x2 -0.254727485 0.008606687 0.454234549 -0.015143084 -0.001573462
> sigmaMu 0.020998003 -0.011780830 -0.015143084 0.051397216 -0.002286802
> sigmaNu 0.002973236 -0.002928932 -0.001573462 -0.002286802 0.016407234
1061c1061
< 'log Lik.' -73.19886 (df=5)
---
> 'log Lik.' -73.19883 (df=5)
1066c1066
< [1] -73.19886
---
> [1] -73.19883
1070c1070
< 0.36910836 -1.68014583 -2.24599762 -0.12927711 -0.01235901
---
> 0.36750163 -1.67992931 -2.24379444 -0.12947348 -0.01240886
1074c1074
< -5.352596e-03 -1.169384e-03 9.018679e-03 -8.560065e-05 -1.337047e-03
---
> -0.0014212306 -0.0034992596 0.0064419525 0.0003782988 0.0003341343
1078,1082c1078,1082
< (Intercept) -13.311471 -4.095359 -7.3033440 2.1269569 1.2949115
< x1 -4.095359 -26.069914 -1.9890076 -4.4824435 -4.7592683
< x2 -7.303344 -1.989008 -6.2339850 0.6304277 0.4540903
< logSigmaMu 2.126957 -4.482444 0.6304276 -16.6736987 -3.7203477
< logSigmaNu 1.294912 -4.759268 0.4540903 -3.7203477 -61.0559995
---
> (Intercept) -13.317517 -4.096146 -7.3057987 2.1155739 1.300861
> x1 -4.096146 -26.075639 -1.9898094 -4.4840349 -4.755412
> x2 -7.305799 -1.989809 -6.2353998 0.6259168 0.464233
> logSigmaMu 2.115574 -4.484035 0.6259168 -16.6651955 -3.721179
> logSigmaNu 1.300861 -4.755412 0.4642330 -3.7211788 -61.065093
1098c1098
< [1] 77
---
> [1] 78
1105,1119c1105,1119
< [1,] 0.85233328 -0.22409782 0.07332048 -0.1444583 -0.9660444
< [2,] 1.70308971 -0.04704007 1.19063655 1.6820276 -1.0125995
< [3,] -1.75019297 -0.33350547 -1.72552704 1.8351025 1.7971930
< [4,] -0.15556441 0.20302631 0.43329831 -0.6891120 -1.4295396
< [5,] -0.12975850 -0.98324725 -0.68782434 -0.6769125 -0.5601235
< [6,] -0.33016850 0.30642386 -0.38397167 -0.4920371 -1.5815772
< [7,] 0.08039312 3.18569212 0.23689935 -0.6770289 6.0304740
< [8,] 0.26593011 -0.37810790 -0.05569887 -0.5388948 -1.1087360
< [9,] -1.14866273 -0.59382719 -0.30325724 0.1343604 -1.6157978
< [10,] 0.43403711 0.40523042 0.15219067 -0.4695123 -1.9368434
< [11,] 0.02791393 -1.44977277 0.64457284 -0.9180573 2.7404764
< [12,] -1.21008680 -0.53803063 -0.61161857 0.2050522 -1.7337926
< [13,] -0.53640601 0.22527056 -0.33116018 -0.3685656 -1.4085064
< [14,] 1.81446561 1.30746010 0.91986987 1.9582376 2.5782059
< [15,] 0.07732445 -1.08664366 0.45728852 -0.8402871 0.2058740
---
> [1,] 0.85278081 -0.2247850 0.07302970 -0.1442070 -0.9634923
> [2,] 1.70342425 -0.0476419 1.19055345 1.6820162 -1.0127268
> [3,] -1.75059965 -0.3340379 -1.72645582 1.8351650 1.8000202
> [4,] -0.15552297 0.2026892 0.43296702 -0.6893599 -1.4315786
> [5,] -0.12953233 -0.9838683 -0.68846571 -0.6770129 -0.5576955
> [6,] -0.33020957 0.3070305 -0.38415893 -0.4921914 -1.5806796
> [7,] 0.08124385 3.1854369 0.23706941 -0.6768114 6.0284476
> [8,] 0.26650783 -0.3785437 -0.05560267 -0.5386742 -1.1090288
> [9,] -1.14849813 -0.5942606 -0.30325840 0.1336487 -1.6163416
> [10,] 0.43466534 0.4056715 0.15242875 -0.4690608 -1.9368240
> [11,] 0.02815366 -1.4492071 0.64446998 -0.9176305 2.7387662
> [12,] -1.21036511 -0.5376472 -0.61231215 0.2052291 -1.7342086
> [13,] -0.53592238 0.2250517 -0.33100094 -0.3690601 -1.4085335
> [14,] 1.81473915 1.3068211 0.91982779 1.9580283 2.5799493
> [15,] 0.07771403 -1.0862084 0.45735047 -0.8397008 0.2042601
1186c1186
< -4.63053 -1.68017 -2.24653 -0.12926 -0.01237
---
> -4.63391 -1.68002 -2.24127 -0.12953 -0.01241
1191c1191
< BFGSR maximization, 76 iterations
---
> BFGSR maximization, 73 iterations
1193c1193
< Log-Likelihood: -73.19886
---
> Log-Likelihood: -73.19882
1197,1201c1197,1201
< (Intercept) -4.630529 0.474847 -9.7516 < 2.2e-16 ***
< x1 -1.680167 0.209266 -8.0288 9.84e-16 ***
< x2 -2.246529 0.674095 -3.3327 0.0008602 ***
< logSigmaMu -0.129259 0.258018 -0.5010 0.6163922
< logSigmaNu -0.012372 0.129700 -0.0954 0.9240070
---
> (Intercept) -4.633912 0.474500 -9.7659 < 2.2e-16 ***
> x1 -1.680022 0.209226 -8.0297 9.772e-16 ***
> x2 -2.241274 0.673908 -3.3258 0.0008817 ***
> logSigmaMu -0.129526 0.258065 -0.5019 0.6157303
> logSigmaNu -0.012412 0.129690 -0.0957 0.9237579
1217,1221c1217,1221
< (Intercept) -4.63053 0.47485 -9.752 < 2e-16 ***
< x1 -1.68017 0.20927 -8.029 9.84e-16 ***
< x2 -2.24653 0.67410 -3.333 0.00086 ***
< logSigmaMu -0.12926 0.25802 -0.501 0.61639
< logSigmaNu -0.01237 0.12970 -0.095 0.92401
---
> (Intercept) -4.63391 0.47450 -9.766 < 2e-16 ***
> x1 -1.68002 0.20923 -8.030 9.77e-16 ***
> x2 -2.24127 0.67391 -3.326 0.000882 ***
> logSigmaMu -0.12953 0.25807 -0.502 0.615730
> logSigmaNu -0.01241 0.12969 -0.096 0.923758
1225c1225
< BFGSR maximization, 76 iterations
---
> BFGSR maximization, 73 iterations
1227c1227
< Log-likelihood: -73.19886 on 5 Df
---
> Log-likelihood: -73.19882 on 5 Df
1231c1231
< -4.63052889 -1.68016681 -2.24652873 -0.12925929 -0.01237178
---
> -4.63391165 -1.68002232 -2.24127447 -0.12952582 -0.01241152
1234c1234
< -4.6305289 -1.6801668 -2.2465287 0.8787461 0.9877044
---
> -4.6339117 -1.6800223 -2.2412745 0.8785119 0.9876652
1237,1241c1237,1241
< (Intercept) 0.225479685 -0.020657781 -0.254908312 0.024017481 0.003038272
< x1 -0.020657781 0.043792400 0.008654629 -0.013418692 -0.002969538
< x2 -0.254908312 0.008654629 0.454404116 -0.017302815 -0.001659717
< logSigmaMu 0.024017481 -0.013418692 -0.017302815 0.066573299 -0.002630062
< logSigmaNu 0.003038272 -0.002969538 -0.001659717 -0.002630062 0.016822121
---
> (Intercept) 0.225149823 -0.020580559 -0.254635601 0.023847765 0.002981648
> x1 -0.020580559 0.043775600 0.008573460 -0.013405916 -0.002969797
> x2 -0.254635601 0.008573460 0.454151985 -0.017194816 -0.001524188
> logSigmaMu 0.023847765 -0.013405916 -0.017194816 0.066597765 -0.002638193
> logSigmaNu 0.002981648 -0.002969797 -0.001524188 -0.002638193 0.016819556
1244,1248c1244,1248
< (Intercept) 0.225479685 -0.020657781 -0.254908312 0.02110527 0.003000914
< x1 -0.020657781 0.043792400 0.008654629 -0.01179162 -0.002933025
< x2 -0.254908312 0.008654629 0.454404116 -0.01520478 -0.001639310
< sigmaMu 0.021105268 -0.011791623 -0.015204781 0.05140755 -0.002282740
< sigmaNu 0.003000914 -0.002933025 -0.001639310 -0.00228274 0.016410989
---
> (Intercept) 0.22514982 -0.020580559 -0.254635601 0.020950545 0.002944870
> x1 -0.02058056 0.043775600 0.008573460 -0.011777256 -0.002933165
> x2 -0.25463560 0.008573460 0.454151985 -0.015105851 -0.001505387
> sigmaMu 0.02095055 -0.011777256 -0.015105851 0.051399034 -0.002289095
> sigmaNu 0.00294487 -0.002933165 -0.001505387 -0.002289095 0.016407183
1250c1250
< 'log Lik.' -73.19886 (df=5)
---
> 'log Lik.' -73.19882 (df=5)
1252c1252
< [1] -40.0000 156.3977
---
> [1] -40.0000 156.3976
1255c1255
< [1] -73.19886
---
> [1] -73.19882
1259c1259
< -4.63052889 -1.68016681 -2.24652873 -0.12925929 -0.01237178
---
> -4.63391165 -1.68002232 -2.24127447 -0.12952582 -0.01241152
1263c1263
< -0.0061950477 -0.0010707668 0.0097275406 0.0001956328 -0.0002944980
---
> -7.425390e-04 -5.237316e-05 1.205358e-03 2.666987e-04 4.763349e-04
1267,1271c1267,1271
< (Intercept) -13.310873 -4.095433 -7.3032190 2.1295948 1.2935465
< x1 -4.095433 -26.069987 -1.9889514 -4.4822022 -4.7593486
< x2 -7.303219 -1.988951 -6.2340154 0.6314474 0.4516043
< logSigmaMu 2.129595 -4.482202 0.6314474 -16.6756448 -3.7207149
< logSigmaNu 1.293546 -4.759349 0.4516043 -3.7207149 -61.0564738
---
> (Intercept) -13.321012 -4.096571 -7.3072433 2.1105735 1.306995
> x1 -4.096571 -26.076360 -1.9903898 -4.4846924 -4.761848
> x2 -7.307243 -1.990390 -6.2361292 0.6247544 0.476812
> logSigmaMu 2.110574 -4.484692 0.6247544 -16.6602022 -3.722583
> logSigmaNu 1.306995 -4.761848 0.4768120 -3.7225828 -61.067774
1287c1287
< [1] 76
---
> [1] 73
1294,1308c1294,1308
< [1,] 0.85226658 -0.22397508 0.07338241 -0.1445053 -0.9665188
< [2,] 1.70309671 -0.04690267 1.19072027 1.6821315 -1.0125369
< [3,] -1.75021733 -0.33346496 -1.72540231 1.8352386 1.7966734
< [4,] -0.15556517 0.20309935 0.43340680 -0.6890757 -1.4289527
< [5,] -0.12981154 -0.98314483 -0.68769994 -0.6768901 -0.5606402
< [6,] -0.33018416 0.30616889 -0.38393125 -0.4919888 -1.5817385
< [7,] 0.08020506 3.18587085 0.23687014 -0.6770755 6.0311237
< [8,] 0.26581655 -0.37801917 -0.05571345 -0.5389380 -1.1086793
< [9,] -1.14873652 -0.59380709 -0.30326441 0.1345389 -1.6156262
< [10,] 0.43392228 0.40513309 0.15215399 -0.4696011 -1.9368421
< [11,] 0.02785859 -1.44998824 0.64463295 -0.9181541 2.7411724
< [12,] -1.21005720 -0.53816678 -0.61145922 0.2050445 -1.7336378
< [13,] -0.53651045 0.22531529 -0.33119189 -0.3684689 -1.4084730
< [14,] 1.81447428 1.30763342 0.91991298 1.9583451 2.5779764
< [15,] 0.07724728 -1.08682283 0.45731046 -0.8404053 0.2064050
---
> [1,] 0.85300597 -0.22538442 0.07270967 -0.1440551 -0.9615875
> [2,] 1.70313415 -0.04819704 1.19001008 1.6809910 -1.0132088
> [3,] -1.75081925 -0.33365931 -1.72733510 1.8354213 1.8035220
> [4,] -0.15575929 0.20248810 0.43239154 -0.6891027 -1.4343552
> [5,] -0.12954290 -0.98419670 -0.68923518 -0.6769998 -0.5551304
> [6,] -0.33034949 0.30889860 -0.38462520 -0.4921179 -1.5796319
> [7,] 0.08189456 3.18535013 0.23720553 -0.6766812 6.0277787
> [8,] 0.26673068 -0.37878111 -0.05566019 -0.5386220 -1.1090629
> [9,] -1.14832130 -0.59395010 -0.30328878 0.1331873 -1.6170652
> [10,] 0.43493369 0.40626633 0.15243113 -0.4688524 -1.9365296
> [11,] 0.02832945 -1.44822208 0.64415440 -0.9173654 2.7358109
> [12,] -1.21044619 -0.53688713 -0.61307141 0.2055182 -1.7349351
> [13,] -0.53600998 0.22524959 -0.33118372 -0.3690370 -1.4082862
> [14,] 1.81463246 1.30632858 0.91958449 1.9574877 2.5811938
> [15,] 0.07784490 -1.08535582 0.45711810 -0.8395052 0.2019637
1375c1375
< -0.232407 1.893069 1.967253 0.001949 0.052661
---
> -0.233782 1.893280 1.969602 0.001543 0.052867
1380,1382c1380,1384
< BFGSR maximization, 104 iterations
< Return code 2: successive function values within tolerance limit
< Log-Likelihood: -64.31275
---
> BFGSR maximization, 96 iterations
> Return code 3: Last step could not find a value above the current.
> Boundary of parameter space?
> Consider switching to a more robust optimisation method temporarily.
> Log-Likelihood: -64.31273
1386,1390c1388,1392
< (Intercept) -0.2324068 0.5482643 -0.4239 0.67164
< x1 1.8930693 0.3010327 6.2886 3.204e-10 ***
< x2 1.9672534 0.8185553 2.4033 0.01625 *
< logSigmaMu 0.0019486 0.2777437 0.0070 0.99440
< logSigmaNu 0.0526612 0.1629727 0.3231 0.74660
---
> (Intercept) -0.2337822 0.5483289 -0.4264 0.66985
> x1 1.8932801 0.3011173 6.2875 3.226e-10 ***
> x2 1.9696025 0.8188341 2.4054 0.01616 *
> logSigmaMu 0.0015433 0.2778758 0.0056 0.99557
> logSigmaNu 0.0528675 0.1630158 0.3243 0.74570
1406,1410c1408,1412
< (Intercept) -0.232407 0.548264 -0.424 0.6716
< x1 1.893069 0.301033 6.289 3.2e-10 ***
< x2 1.967253 0.818555 2.403 0.0162 *
< logSigmaMu 0.001949 0.277744 0.007 0.9944
< logSigmaNu 0.052661 0.162973 0.323 0.7466
---
> (Intercept) -0.233782 0.548329 -0.426 0.6698
> x1 1.893280 0.301117 6.288 3.23e-10 ***
> x2 1.969602 0.818834 2.405 0.0162 *
> logSigmaMu 0.001543 0.277876 0.006 0.9956
> logSigmaNu 0.052867 0.163016 0.324 0.7457
1414,1416c1416,1420
< BFGSR maximization, 104 iterations
< Return code 2: successive function values within tolerance limit
< Log-likelihood: -64.31275 on 5 Df
---
> BFGSR maximization, 96 iterations
> Return code 3: Last step could not find a value above the current.
> Boundary of parameter space?
> Consider switching to a more robust optimisation method temporarily.
> Log-likelihood: -64.31273 on 5 Df
1430,1434c1434,1438
< (Intercept) -0.2324 0.5483 -0.424 0.671642
< x1 1.8931 0.3010 6.289 3.20e-10 ***
< x2 1.9673 0.8186 2.403 0.016247 *
< sigmaMu 1.0020 0.2783 3.600 0.000318 ***
< sigmaNu 1.0541 0.1718 6.136 8.46e-10 ***
---
> (Intercept) -0.2338 0.5483 -0.426 0.66985
> x1 1.8933 0.3011 6.288 3.23e-10 ***
> x2 1.9696 0.8188 2.405 0.01616 *
> sigmaMu 1.0015 0.2783 3.599 0.00032 ***
> sigmaNu 1.0543 0.1719 6.134 8.55e-10 ***
1438,1440c1442,1446
< BFGSR maximization, 104 iterations
< Return code 2: successive function values within tolerance limit
< Log-likelihood: -64.31275 on 5 Df
---
> BFGSR maximization, 96 iterations
> Return code 3: Last step could not find a value above the current.
> Boundary of parameter space?
> Consider switching to a more robust optimisation method temporarily.
> Log-likelihood: -64.31273 on 5 Df
1444c1450
< -0.232406775 1.893069300 1.967253438 0.001948645 0.052661158
---
> -0.23378216 1.89328013 1.96960246 0.00154326 0.05286747
1447c1453
< -0.2324068 1.8930693 1.9672534 1.0019505 1.0540724
---
> -0.2337822 1.8932801 1.9696025 1.0015445 1.0542899
1450,1454c1456,1460
< (Intercept) 0.30059377 -0.03130334 -0.36383102 -0.015850326 -0.016334894
< x1 -0.03130334 0.09062066 0.03168072 0.035172293 0.015915573
< x2 -0.36383102 0.03168072 0.67003285 0.018533552 0.024400031
< logSigmaMu -0.01585033 0.03517229 0.01853355 0.077141569 0.004357457
< logSigmaNu -0.01633489 0.01591557 0.02440003 0.004357457 0.026560114
---
> (Intercept) 0.30066457 -0.03140943 -0.36406867 -0.015974524 -0.016384019
> x1 -0.03140943 0.09067161 0.03182344 0.035194978 0.015930682
> x2 -0.36406867 0.03182344 0.67048933 0.018652238 0.024503878
> logSigmaMu -0.01597452 0.03519498 0.01865224 0.077214979 0.004337456
> logSigmaNu -0.01638402 0.01593068 0.02450388 0.004337456 0.026574149
1457,1461c1463,1467
< (Intercept) 0.30059377 -0.03130334 -0.36383102 -0.015881243 -0.017218162
< x1 -0.03130334 0.09062066 0.03168072 0.035240898 0.016776166
< x2 -0.36383102 0.03168072 0.67003285 0.018569703 0.025719400
< sigmaMu -0.01588124 0.03524090 0.01856970 0.077442799 0.004602035
< sigmaNu -0.01721816 0.01677617 0.02571940 0.004602035 0.029510110
---
> (Intercept) 0.30066457 -0.03140943 -0.36406867 -0.015999196 -0.017273506
> x1 -0.03140943 0.09067161 0.03182344 0.035249335 0.016795557
> x2 -0.36406867 0.03182344 0.67048933 0.018681045 0.025834191
> sigmaMu -0.01599920 0.03524934 0.01868105 0.077453673 0.004579999
> sigmaNu -0.01727351 0.01679556 0.02583419 0.004579999 0.029537890
1464,1468c1470,1474
< (Intercept) -0.232406775 0.5482643 -0.423895489 6.716420e-01
< x1 1.893069300 0.3010327 6.288584532 3.203736e-10
< x2 1.967253438 0.8185553 2.403323681 1.624680e-02
< logSigmaMu 0.001948645 0.2777437 0.007015982 9.944021e-01
< logSigmaNu 0.052661158 0.1629727 0.323128631 7.465978e-01
---
> (Intercept) -0.23378216 0.5483289 -0.426353903 6.698500e-01
> x1 1.89328013 0.3011173 6.287517678 3.225823e-10
> x2 1.96960246 0.8188341 2.405374171 1.615591e-02
> logSigmaMu 0.00154326 0.2778758 0.005553777 9.955687e-01
> logSigmaNu 0.05286747 0.1630158 0.324308863 7.457042e-01
1471,1475c1477,1481
< (Intercept) -0.2324068 0.5482643 -0.4238955 6.716420e-01
< x1 1.8930693 0.3010327 6.2885845 3.203736e-10
< x2 1.9672534 0.8185553 2.4033237 1.624680e-02
< sigmaMu 1.0019505 0.2782855 3.6004415 3.176772e-04
< sigmaNu 1.0540724 0.1717851 6.1359955 8.462753e-10
---
> (Intercept) -0.2337822 0.5483289 -0.4263539 6.698500e-01
> x1 1.8932801 0.3011173 6.2875177 3.225823e-10
> x2 1.9696025 0.8188341 2.4053742 1.615591e-02
> sigmaMu 1.0015445 0.2783050 3.5987296 3.197754e-04
> sigmaNu 1.0542899 0.1718659 6.1343749 8.549467e-10
1477c1483
< 'log Lik.' -64.31275 (df=5)
---
> 'log Lik.' -64.31273 (df=5)
1484c1490
< [1] -64.31275
---
> [1] -64.31273
1488c1494
< -0.232406775 1.893069300 1.967253438 0.001948645 0.052661158
---
> -0.23378216 1.89328013 1.96960246 0.00154326 0.05286747
1492c1498
< -0.003731895 0.001031310 0.005580694 -0.004887173 0.001227431
---
> -0.002894857 -0.002369745 0.002610000 0.003016516 -0.002543448
1496,1500c1502,1506
< (Intercept) -9.92321332 -1.4903278 -5.3041644 -0.06665223 -0.3261661
< x1 -1.49032777 -15.1429899 -0.5451517 6.29841156 7.6250302
< x2 -5.30416440 -0.5451517 -4.3901618 0.15287671 1.0725620
< logSigmaMu -0.06665223 6.2984116 0.1528767 -15.80839131 -1.3620946
< logSigmaNu -0.32616611 7.6250302 1.0725620 -1.36209464 -43.1820398
---
> (Intercept) -9.92921213 -1.4915778 -5.3068262 -0.07430279 -0.3220588
> x1 -1.49157779 -15.1380768 -0.5453987 6.29452164 7.6308755
> x2 -5.30682618 -0.5453987 -4.3907451 0.15071751 1.0791686
> logSigmaMu -0.07430279 6.2945216 0.1507175 -15.79417345 -1.3802899
> logSigmaNu -0.32205878 7.6308755 1.0791686 -1.38028985 -43.1734818
1503c1509
< [1] 2
---
> [1] 3
1506c1512
< [1] "successive function values within tolerance limit"
---
> [1] "Last step could not find a value above the current.\nBoundary of parameter space? \nConsider switching to a more robust optimisation method temporarily."
1509c1515,1541
< NULL
---
> $last.step$theta0
> (Intercept) x1 x2 logSigmaMu logSigmaNu
> -0.233805135 1.893310605 1.969641022 0.001551443 0.052675686
>
> $last.step$f0
> [1] -64.31273
> attr(,"gradient")
> [,1] [,2] [,3] [,4] [,5]
> [1,] -0.85417510 -0.10609337 -0.18146777 -0.0235494 -0.8369719
> [2,] -1.41680128 -0.02702422 -0.97196805 1.4567554 -1.1645981
> [3,] 1.29745993 1.02088535 0.92544703 1.0920903 0.1540724
> [4,] 0.07075595 -0.25207707 -0.39840982 -0.7015966 -1.8261020
> [5,] 0.08922410 0.80745931 0.64769792 -0.6906630 -0.2847701
> [6,] 0.55923778 0.49468626 0.42897976 -0.2914444 -0.3603540
> [7,] -0.12034788 -3.06219247 -0.23674144 -0.7063845 6.3455056
> [8,] -0.20961505 0.33550846 0.08326478 -0.5906480 -1.0295346
> [9,] 1.03436546 0.66021829 0.28832659 0.1971790 -1.2970105
> [10,] -0.42828980 -0.58564682 -0.11733332 -0.3957152 -1.8006439
> [11,] -0.04064163 1.09509187 -0.50821521 -0.8668820 2.0017961
> [12,] 1.14034027 0.50533928 0.83221911 0.5852838 -0.7450190
> [13,] 0.53486256 -0.28181457 0.34791505 -0.2865027 -1.4336469
> [14,] -1.63819150 -1.34761986 -0.83803596 2.1201245 2.7646850
> [15,] -0.02103951 0.73904950 -0.29933851 -0.8946959 -0.4814000
>
> $last.step$climb
> [1] -394657.2 523581.9 662476.4 140569.0 -3294770.3
>
1516c1548
< [1] 104
---
> [1] 96
1523,1537c1555,1569
< [1,] -0.85396968 -0.10547659 -0.18111424 -0.02376146 -0.8365364
< [2,] -1.41552185 -0.02559766 -0.97067257 1.45463997 -1.1650105
< [3,] 1.29683869 1.02139732 0.92534030 1.09158513 0.1538039
< [4,] 0.07013282 -0.25170691 -0.39841704 -0.70183507 -1.8282800
< [5,] 0.08893852 0.80792186 0.64811717 -0.69109805 -0.2827028
< [6,] 0.55911661 0.49434434 0.42900357 -0.29125241 -0.3597365
< [7,] -0.12071978 -3.06168725 -0.23678895 -0.70649064 6.3432431
< [8,] -0.20980207 0.33578227 0.08334459 -0.59088105 -1.0292560
< [9,] 1.03368615 0.66080593 0.28814228 0.19570597 -1.2971934
< [10,] -0.42792007 -0.58554650 -0.11707447 -0.39566321 -1.8007466
< [11,] -0.04037311 1.09483196 -0.50790674 -0.86706286 2.0008436
< [12,] 1.13951324 0.50476332 0.83221029 0.58396727 -0.7443026
< [13,] 0.53420817 -0.28151106 0.34765445 -0.28657500 -1.4341387
< [14,] -1.63722175 -1.34596132 -0.83727741 2.11889666 2.7631322
< [15,] -0.02063777 0.73867159 -0.29898053 -0.89506244 -0.4818917
---
> [1,] -0.85399301 -0.10602099 -0.18140766 -0.02364687 -0.8371385
> [2,] -1.41680831 -0.02700922 -0.97193915 1.45664700 -1.1645431
> [3,] 1.29738032 1.02095947 0.92539297 1.09190281 0.1539769
> [4,] 0.07100562 -0.25197861 -0.39807733 -0.70154825 -1.8266607
> [5,] 0.08922699 0.80745668 0.64756678 -0.69055935 -0.2850413
> [6,] 0.55925418 0.49480489 0.42892323 -0.29147726 -0.3608594
> [7,] -0.12039508 -3.06089075 -0.23666324 -0.70622873 6.3420715
> [8,] -0.20969533 0.33555238 0.08322106 -0.59050851 -1.0297117
> [9,] 1.03428932 0.66016070 0.28831450 0.19721031 -1.2971304
> [10,] -0.42828624 -0.58538485 -0.11736408 -0.39582567 -1.8009247
> [11,] -0.04081588 1.09472020 -0.50816401 -0.86667778 2.0006839
> [12,] 1.14045635 0.50528295 0.83226925 0.58550194 -0.7452782
> [13,] 0.53470207 -0.28162570 0.34780933 -0.28674186 -1.4339655
> [14,] -1.63795687 -1.34717561 -0.83791582 2.11940059 2.7641334
> [15,] -0.02125898 0.73877872 -0.29935581 -0.89443186 -0.4821556
1604,1608c1636,1640
< [1] "Component 1: Mean relative difference: 5.615322e-07"
< [2] "Component 2: Mean relative difference: 0.0009898576"
< [3] "Component 3: Mean relative difference: 0.4805458"
< [4] "Component 4: Mean relative difference: 0.0004458943"
< [5] "Component 9: Mean relative difference: 0.02531646"
---
> [1] "Component 1: Mean relative difference: 1.585932e-07"
> [2] "Component 2: Mean relative difference: 0.0009942645"
> [3] "Component 3: Mean relative difference: 5.267562"
> [4] "Component 4: Mean relative difference: 0.000453646"
> [5] "Component 9: Mean relative difference: 0.2352941"
1610c1642
< [1] "Mean relative difference: 0.0006494653"
---
> [1] "Mean relative difference: 0.0006692936"
1644c1676
< [1] -4.110353e-05
---
> [1] 1.160884e-05
1646c1678
< [1] 4.110353e-05
---
> [1] -1.160884e-05
1670c1702
< -0.222062 1.640326 2.107222 -0.167559 -0.001132
---
> -0.223438 1.640494 2.109440 -0.167351 -0.001139
1675c1707
< BFGSR maximization, 81 iterations
---
> BFGSR maximization, 91 iterations
1677c1709
< Log-Likelihood: -71.19258
---
> Log-Likelihood: -71.19256
1681,1685c1713,1717
< (Intercept) -0.2220620 0.4724450 -0.4700 0.638336
< x1 1.6403263 0.2110316 7.7729 7.671e-15 ***
< x2 2.1072221 0.6848212 3.0770 0.002091 **
< logSigmaMu -0.1675593 0.2715668 -0.6170 0.537228
< logSigmaNu -0.0011315 0.1322771 -0.0086 0.993175
---
> (Intercept) -0.2234379 0.4725748 -0.4728 0.63635
> x1 1.6404941 0.2110522 7.7729 7.669e-15 ***
> x2 2.1094395 0.6848755 3.0800 0.00207 **
> logSigmaMu -0.1673511 0.2714906 -0.6164 0.53762
> logSigmaNu -0.0011386 0.1322729 -0.0086 0.99313
1700,1704c1732,1736
< (Intercept) -0.222062 0.472445 -0.470 0.63834
< x1 1.640326 0.211032 7.773 7.67e-15 ***
< x2 2.107222 0.684821 3.077 0.00209 **
< logSigmaMu -0.167559 0.271567 -0.617 0.53723
< logSigmaNu -0.001132 0.132277 -0.009 0.99317
---
> (Intercept) -0.223438 0.472575 -0.473 0.63635
> x1 1.640494 0.211052 7.773 7.67e-15 ***
> x2 2.109440 0.684875 3.080 0.00207 **
> logSigmaMu -0.167351 0.271491 -0.616 0.53762
> logSigmaNu -0.001139 0.132273 -0.009 0.99313
1708c1740
< BFGSR maximization, 81 iterations
---
> BFGSR maximization, 91 iterations
1710c1742
< Log-likelihood: -71.19258 on 5 Df
---
> Log-likelihood: -71.19256 on 5 Df
1713c1745
< 'log Lik.' -71.19258 (df=5)
---
> 'log Lik.' -71.19256 (df=5)
1715c1747
< [1] -36.0000 152.3852
---
> [1] -36.0000 152.3851
1718c1750
< [1] -71.19258
---
> [1] -71.19256
1722c1754
< -0.222062023 1.640326262 2.107222107 -0.167559304 -0.001131541
---
> -0.223437886 1.640494086 2.109439512 -0.167351143 -0.001138553
1726c1758
< -0.0036990578 0.0021885574 0.0082563290 -0.0001361299 -0.0009572206
---
> -0.0023645994 0.0002134735 0.0043525355 -0.0012274752 -0.0003310896
1730,1734c1762,1766
< (Intercept) -13.795315 -4.346942 -7.5304318 -1.1072108 -1.946107
< x1 -4.346942 -25.814899 -2.0581475 4.6501640 4.050029
< x2 -7.530432 -2.058148 -6.2670586 -0.1424785 -1.067211
< logSigmaMu -1.107211 4.650164 -0.1424785 -14.9215866 -3.777247
< logSigmaNu -1.946107 4.050029 -1.0672107 -3.7772473 -58.832200
---
> (Intercept) -13.788369 -4.345893 -7.5273217 -1.1108512 -1.941872
> x1 -4.345893 -25.811539 -2.0571716 4.6503075 4.052490
> x2 -7.527322 -2.057172 -6.2654750 -0.1435365 -1.057070
> logSigmaMu -1.110851 4.650307 -0.1435365 -14.9303962 -3.772496
> logSigmaNu -1.941872 4.052490 -1.0570698 -3.7724962 -58.832591
1750c1782
< [1] 81
---
> [1] 91
1757,1771c1789,1803
< [1,] -0.50861412 0.089313878 0.10372439 -0.39417267 -0.53034460
< [2,] -1.81721837 0.067249502 -1.24721195 1.79823187 -0.96139850
< [3,] 1.78502287 0.485289198 1.77021729 1.73372779 1.89705325
< [4,] 0.15201450 -0.162554183 -0.39578762 -0.73680752 -1.58677364
< [5,] 0.08167566 1.039173199 0.69832203 -0.67803743 -0.44546418
< [6,] 0.33275432 -0.232259986 0.37399376 -0.53955675 -1.57343924
< [7,] -0.18084254 -3.029380027 -0.24859203 -0.62210142 5.47992251
< [8,] 0.01870453 -0.004077118 0.01069778 -0.41764806 -0.58175226
< [9,] 1.11588249 0.666742481 0.29573968 0.06334886 -1.68569330
< [10,] -0.53801446 -0.420343449 -0.20431680 -0.40639115 -1.97431281
< [11,] -0.08318710 1.378423035 -0.64761027 -0.82307419 2.49504342
< [12,] 1.25916589 0.531687882 0.66988673 0.23108739 -1.79392500
< [13,] 0.44667774 -0.163384903 0.28641796 -0.46831108 -1.45040606
< [14,] -1.89286355 -1.286461277 -0.96209324 1.98307542 2.68236453
< [15,] -0.17485692 1.042770327 -0.49513138 -0.72350718 0.02816867
---
> [1,] -0.50851468 0.088549089 0.10332418 -0.39424112 -0.5321531
> [2,] -1.81705349 0.066630144 -1.24744468 1.79880183 -0.9613088
> [3,] 1.78438158 0.484622552 1.76921902 1.73324126 1.8938711
> [4,] 0.15178686 -0.162863846 -0.39633296 -0.73697159 -1.5844197
> [5,] 0.08174549 1.038619943 0.69766179 -0.67810229 -0.4478988
> [6,] 0.33238733 -0.231741427 0.37360317 -0.53970858 -1.5740604
> [7,] -0.18005740 -3.029939879 -0.24845697 -0.62247948 5.4823898
> [8,] 0.01878553 -0.004094775 0.01074411 -0.41775131 -0.5816437
> [9,] 1.11613611 0.666458518 0.29576147 0.06379078 -1.6850635
> [10,] -0.53761405 -0.420066528 -0.20419807 -0.40660173 -1.9743628
> [11,] -0.08280126 1.379236916 -0.64772340 -0.82356321 2.4973552
> [12,] 1.25885598 0.532122184 0.66915527 0.23058826 -1.7934726
> [13,] 0.44678737 -0.163413157 0.28637417 -0.46810019 -1.4504984
> [14,] -1.89274932 -1.287262705 -0.96222366 1.98378247 2.6810702
> [15,] -0.17444065 1.043356443 -0.49511091 -0.72391258 0.0298645
Running 'censRegTest.R'
Comparing 'censRegTest.Rout' to 'censRegTest.Rout.save' ...32c32
< -3.909610e-12 -1.201744e-10 -2.714871e-11 -1.294597e-11 -1.571418e-11
---
> -3.607684e-12 -1.108292e-10 -2.501133e-11 -1.195816e-11 -1.449160e-11
34c34
< -1.669701e-11 -3.810049e-12
---
> -1.542333e-11 -3.534235e-12
1443,1458c1443,1458
< (Intercept) age yearsmarried religiousness
< (Intercept) 7.515523736 -0.1196798504 0.089357155 -3.970038e-01
< age -0.119679850 0.0062557406 -0.008052616 5.380018e-04
< yearsmarried 0.089357155 -0.0080526163 0.018095076 -1.006372e-02
< religiousness -0.397003788 0.0005380018 -0.010063723 1.630153e-01
< occupation -0.176564350 -0.0039320119 0.003581751 5.214883e-03
< rating -0.616442291 0.0011114966 0.004771647 -2.571294e-05
< logSigma 0.006968089 -0.0005561255 0.001594861 -4.944751e-03
< occupation rating logSigma
< (Intercept) -0.176564350 -6.164423e-01 0.0069680895
< age -0.003932012 1.111497e-03 -0.0005561255
< yearsmarried 0.003581751 4.771647e-03 0.0015948607
< religiousness 0.005214883 -2.571294e-05 -0.0049447512
< occupation 0.064731952 -6.192755e-03 0.0008925920
< rating -0.006192755 1.663236e-01 -0.0068779111
< logSigma 0.000892592 -6.877911e-03 0.0045021647
---
> (Intercept) age yearsmarried religiousness occupation
> (Intercept) 7.51552374 -0.1196798502 0.089357154 -3.970038e-01 -0.176564351
> age -0.11967985 0.0062557406 -0.008052616 5.380018e-04 -0.003932012
> yearsmarried 0.08935715 -0.0080526163 0.018095076 -1.006372e-02 0.003581751
> religiousness -0.39700379 0.0005380018 -0.010063723 1.630153e-01 0.005214883
> occupation -0.17656435 -0.0039320119 0.003581751 5.214883e-03 0.064731952
> rating -0.61644229 0.0011114966 0.004771647 -2.571292e-05 -0.006192755
> logSigma 0.00696809 -0.0005561255 0.001594861 -4.944751e-03 0.000892592
> rating logSigma
> (Intercept) -6.164423e-01 0.0069680896
> age 1.111497e-03 -0.0005561255
> yearsmarried 4.771647e-03 0.0015948607
> religiousness -2.571292e-05 -0.0049447513
> occupation -6.192755e-03 0.0008925920
> rating 1.663236e-01 -0.0068779111
> logSigma -6.877911e-03 0.0045021647
1461c1461
< (Intercept) 7.51552374 -0.1196798504 0.089357155 -3.970038e-01 -0.176564350
---
> (Intercept) 7.51552374 -0.1196798502 0.089357154 -3.970038e-01 -0.176564351
1466c1466
< rating -0.61644229 0.0011114966 0.004771647 -2.571294e-05 -0.006192755
---
> rating -0.61644229 0.0011114966 0.004771647 -2.571292e-05 -0.006192755
1469c1469
< (Intercept) -6.164423e-01 0.057466393
---
> (Intercept) -6.164423e-01 0.057466394
1472c1472
< religiousness -2.571294e-05 -0.040779761
---
> religiousness -2.571292e-05 -0.040779761
1480c1480
< yearsmarried 0.5541418 0.13451794 4.119464 3.797547e-05
---
> yearsmarried 0.5541418 0.13451794 4.119464 3.797546e-05
1484c1484
< logSigma 2.1098592 0.06709817 31.444363 5.012720e-217
---
> logSigma 2.1098592 0.06709817 31.444362 5.012721e-217
1489c1489
< yearsmarried 0.5541418 0.13451794 4.119464 3.797547e-05
---
> yearsmarried 0.5541418 0.13451794 4.119464 3.797546e-05
2219,2225c2219,2225
< (Intercept) 4516.829765 -71.9275901 53.7036500 -238.59927682 -106.1151746
< age -71.927590 3.7597001 -4.8396224 0.32333909 -2.3631392
< yearsmarried 53.703650 -4.8396224 10.8751405 -6.04829742 2.1526325
< religiousness -238.599277 0.3233391 -6.0482974 97.97220415 3.1341450
< occupation -106.115175 -2.3631392 2.1526325 3.13414496 38.9039031
< rating -370.481817 0.6680095 2.8677600 -0.01545348 -3.7218460
< logSigma 4.187822 -0.3342314 0.9585113 -2.97179550 0.5364478
---
> (Intercept) 4516.829765 -71.9275900 53.7036498 -238.59927669 -106.1151749
> age -71.927590 3.7597001 -4.8396224 0.32333908 -2.3631392
> yearsmarried 53.703650 -4.8396224 10.8751405 -6.04829741 2.1526325
> religiousness -238.599277 0.3233391 -6.0482974 97.97220414 3.1341450
> occupation -106.115175 -2.3631392 2.1526325 3.13414498 38.9039031
> rating -370.481817 0.6680094 2.8677600 -0.01545346 -3.7218460
> logSigma 4.187822 -0.3342314 0.9585113 -2.97179551 0.5364478
2227c2227
< (Intercept) -370.48181666 4.1878218
---
> (Intercept) -370.48181717 4.1878218
2229,2233c2229,2233
< yearsmarried 2.86776000 0.9585113
< religiousness -0.01545348 -2.9717955
< occupation -3.72184602 0.5364478
< rating 99.96049030 -4.1336246
< logSigma -4.13362457 2.7058010
---
> yearsmarried 2.86776001 0.9585113
> religiousness -0.01545346 -2.9717955
> occupation -3.72184599 0.5364478
> rating 99.96049042 -4.1336246
> logSigma -4.13362458 2.7058010
2236c2236
< (Intercept) 9.47367042 -0.1866313729 0.1635733343 -0.418908002
---
> (Intercept) 9.47367041 -0.1866313723 0.1635733333 -0.418908001
2240c2240
< occupation -0.15702919 -0.0046649147 0.0057844633 -0.001256192
---
> occupation -0.15702919 -0.0046649147 0.0057844632 -0.001256192
2244c2244
< (Intercept) -0.1570291860 -0.6654380807 -0.0408634492
---
> (Intercept) -0.1570291873 -0.6654380820 -0.0408634490
2246,2249c2246,2249
< yearsmarried 0.0057844633 0.0012457507 -0.0005738356
< religiousness -0.0012561918 -0.0119720133 -0.0024757442
< occupation 0.0605051421 -0.0008286106 0.0005882962
< rating -0.0008286106 0.1548256732 -0.0003879391
---
> yearsmarried 0.0057844632 0.0012457507 -0.0005738356
> religiousness -0.0012561917 -0.0119720133 -0.0024757442
> occupation 0.0605051422 -0.0008286105 0.0005882962
> rating -0.0008286105 0.1548256735 -0.0003879391
7868c7868
< age 3.506439e-04 -0.0004488950 3.078706e-06 -0.0002287821
---
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> age -0.20065175 0.009401332 -0.0116862348 -0.0126882102
> yearsmarried 0.16868421 -0.011686235 0.0222169680 0.0020910172
> religiousness2 -1.13192770 -0.012688210 0.0020910172 2.3677473936
> religiousness3 -1.67391451 0.009680116 -0.0335847979 1.5816089431
> religiousness4 -1.63520650 0.020356050 -0.0571329534 1.5834255180
17996,17997c17996,17997
< rating -0.70525290 0.001990725 0.0047558307 0.0059794241
< logSigma -0.05205719 0.001000981 -0.0009214505 0.0007548113
---
> rating -0.70525290 0.001990725 0.0047558306 0.0059794242
> logSigma -0.05205719 0.001000981 -0.0009214505 0.0007548114
17999,18006c17999,18006
< (Intercept) -1.673914501 -1.635206496 -0.2166304559 -0.7052528966
< age 0.009680115 0.020356049 -0.0047661857 0.0019907250
< yearsmarried -0.033584798 -0.057132953 0.0071748020 0.0047558307
< religiousness2 1.581608942 1.583425518 -0.0149992597 0.0059794241
< religiousness3 2.344052053 1.676859201 0.0085145595 0.0042720440
< religiousness4 1.676859201 2.490749125 -0.0079195866 -0.0274176772
< occupation 0.008514560 -0.007919587 0.0698641100 0.0025917525
< rating 0.004272044 -0.027417677 0.0025917525 0.1682841973
---
> (Intercept) -1.673914507 -1.635206499 -0.2166304560 -0.7052528988
> age 0.009680116 0.020356050 -0.0047661857 0.0019907250
> yearsmarried -0.033584798 -0.057132953 0.0071748020 0.0047558306
> religiousness2 1.581608943 1.583425518 -0.0149992597 0.0059794242
> religiousness3 2.344052054 1.676859202 0.0085145596 0.0042720444
> religiousness4 1.676859202 2.490749125 -0.0079195866 -0.0274176771
> occupation 0.008514560 -0.007919587 0.0698641099 0.0025917525
> rating 0.004272044 -0.027417677 0.0025917525 0.1682841974
18009c18009
< (Intercept) -0.0520571902
---
> (Intercept) -0.0520571907
18012c18012
< religiousness2 0.0007548113
---
> religiousness2 0.0007548114
** running tests for arch 'x64' OK
Running 'censRegPanelLargerTest.R'
Comparing 'censRegPanelLargerTest.Rout' to 'censRegPanelLargerTest.Rout.save' ... OK
Running 'censRegPanelTest.R'
Comparing 'censRegPanelTest.Rout' to 'censRegPanelTest.Rout.save' ...127c127
< (Intercept) 0.225109672 -0.020570168 -0.254602886 -0.023824162 -0.002973952
---
> (Intercept) 0.225109671 -0.020570168 -0.254602886 -0.023824162 -0.002973952
134,137c134,137
< (Intercept) 0.225109672 -0.020570168 -0.254602886 -0.020929366 -0.002937279
< x1 -0.020570168 0.043773972 0.008562225 0.011775393 0.002933333
< x2 -0.254602886 0.008562225 0.454125881 0.015092112 0.001486874
< sigmaMu -0.020929366 0.011775393 0.015092112 0.051398826 -0.002289643
---
> (Intercept) 0.225109671 -0.020570168 -0.254602886 -0.020929366 -0.002937279
> x1 -0.020570168 0.043773972 0.008562225 0.011775394 0.002933333
> x2 -0.254602886 0.008562225 0.454125881 0.015092113 0.001486874
> sigmaMu -0.020929366 0.011775394 0.015092113 0.051398826 -0.002289643
143c143
< x2 2.24054376 0.6738886 3.32479829 8.848252e-04
---
> x2 2.24054376 0.6738886 3.32479830 8.848252e-04
172c172
< 1.711230e-11 4.532957e-11 1.345336e-11 8.219619e-12 6.207204e-11
---
> 1.711386e-11 4.533762e-11 1.344722e-11 8.216400e-12 6.207498e-11
606c606
< -0.36897 1.68022 2.24554 -0.12924 -0.01237
---
> -0.36750 1.67993 2.24379 -0.12947 -0.01241
611c611
< BFGSR maximization, 75 iterations
---
> BFGSR maximization, 78 iterations
613c613
< Log-Likelihood: -73.19885
---
> Log-Likelihood: -73.19883
617,621c617,621
< (Intercept) -0.368971 0.474821 -0.7771 0.4371156
< x1 1.680224 0.209267 8.0291 9.82e-16 ***
< x2 2.245538 0.674078 3.3313 0.0008645 ***
< logSigmaMu -0.129236 0.258017 -0.5009 0.6164535
< logSigmaNu -0.012372 0.129700 -0.0954 0.9240058
---
> (Intercept) -0.367502 0.474613 -0.7743 0.4387426
> x1 1.679929 0.209229 8.0291 9.816e-16 ***
> x2 2.243794 0.673969 3.3292 0.0008709 ***
> logSigmaMu -0.129473 0.258047 -0.5017 0.6158482
> logSigmaNu -0.012409 0.129690 -0.0957 0.9237740
636,640c636,640
< (Intercept) -0.36897 0.47482 -0.777 0.437116
< x1 1.68022 0.20927 8.029 9.82e-16 ***
< x2 2.24554 0.67408 3.331 0.000864 ***
< logSigmaMu -0.12924 0.25802 -0.501 0.616453
< logSigmaNu -0.01237 0.12970 -0.095 0.924006
---
> (Intercept) -0.36750 0.47461 -0.774 0.438743
> x1 1.67993 0.20923 8.029 9.82e-16 ***
> x2 2.24379 0.67397 3.329 0.000871 ***
> logSigmaMu -0.12947 0.25805 -0.502 0.615848
> logSigmaNu -0.01241 0.12969 -0.096 0.923774
644c644
< BFGSR maximization, 75 iterations
---
> BFGSR maximization, 78 iterations
646c646
< Log-likelihood: -73.19885 on 5 Df
---
> Log-likelihood: -73.19883 on 5 Df
650c650
< [1] -73.19885
---
> [1] -73.19883
654c654
< -0.36897087 1.68022403 2.24553793 -0.12923636 -0.01237201
---
> -0.36750163 1.67992931 2.24379444 -0.12947348 -0.01240886
658c658
< 0.0064895868 -0.0003972359 -0.0073323966 -0.0003688144 -0.0002913377
---
> 0.0014212306 0.0034992596 -0.0064419525 0.0003782988 0.0003341343
662,666c662,666
< (Intercept) -13.311348 -4.095493 -7.3034143 -2.1287705 -1.2957339
< x1 -4.095493 -26.069920 -1.9891192 4.4822283 4.7622215
< x2 -7.303414 -1.989119 -6.2341217 -0.6315936 -0.4565888
< logSigmaMu -2.128770 4.482228 -0.6315936 -16.6750365 -3.7205299
< logSigmaNu -1.295734 4.762221 -0.4565888 -3.7205299 -61.0569624
---
> (Intercept) -13.317517 -4.096146 -7.3057987 -2.1155739 -1.300861
> x1 -4.096146 -26.075639 -1.9898094 4.4840349 4.755412
> x2 -7.305799 -1.989809 -6.2353998 -0.6259168 -0.464233
> logSigmaMu -2.115574 4.484035 -0.6259168 -16.6651955 -3.721179
> logSigmaNu -1.300861 4.755412 -0.4642330 -3.7211788 -61.065093
682c682
< [1] 75
---
> [1] 78
689,703c689,703
< [1,] -0.85228129 0.2242603 -0.07322557 -0.1444838 -0.9658712
< [2,] -1.70283214 0.0471698 -1.19039665 1.6815304 -1.0127848
< [3,] 1.75022882 0.3332204 1.72570422 1.8353728 1.7979847
< [4,] 0.15565665 -0.2030313 -0.43318276 -0.6889235 -1.4300833
< [5,] 0.12984170 0.9832540 0.68801275 -0.6768862 -0.5596233
< [6,] 0.33024035 -0.3069799 0.38412809 -0.4919067 -1.5813476
< [7,] -0.08041477 -3.1858642 -0.23691529 -0.6770615 6.0310287
< [8,] -0.26584674 0.3780840 0.05576021 -0.5389585 -1.1086395
< [9,] 1.14864523 0.5936484 0.30326958 0.1343575 -1.6158935
< [10,] -0.43393095 -0.4053375 -0.15210309 -0.4695766 -1.9367093
< [11,] -0.02789990 1.4496008 -0.64449125 -0.9181238 2.7400344
< [12,] 1.21002456 0.5378388 0.61172468 0.2051115 -1.7339127
< [13,] 0.53659254 -0.2254265 0.33129084 -0.3683897 -1.4083655
< [14,] -1.81430311 -1.3073121 -0.91972993 1.9579944 2.5783401
< [15,] -0.07723136 1.0864779 -0.45717824 -0.8404251 0.2055513
---
> [1,] -0.85278081 0.2247850 -0.07302970 -0.1442070 -0.9634923
> [2,] -1.70342425 0.0476419 -1.19055345 1.6820162 -1.0127268
> [3,] 1.75059965 0.3340379 1.72645582 1.8351650 1.8000202
> [4,] 0.15552297 -0.2026892 -0.43296702 -0.6893599 -1.4315786
> [5,] 0.12953233 0.9838683 0.68846571 -0.6770129 -0.5576955
> [6,] 0.33020957 -0.3070305 0.38415893 -0.4921914 -1.5806796
> [7,] -0.08124385 -3.1854369 -0.23706941 -0.6768114 6.0284476
> [8,] -0.26650783 0.3785437 0.05560267 -0.5386742 -1.1090288
> [9,] 1.14849813 0.5942606 0.30325840 0.1336487 -1.6163416
> [10,] -0.43466534 -0.4056715 -0.15242875 -0.4690608 -1.9368240
> [11,] -0.02815366 1.4492071 -0.64446998 -0.9176305 2.7387662
> [12,] 1.21036511 0.5376472 0.61231215 0.2052291 -1.7342086
> [13,] 0.53592238 -0.2250517 0.33100094 -0.3690601 -1.4085335
> [14,] -1.81473915 -1.3068211 -0.91982779 1.9580283 2.5799493
> [15,] -0.07771403 1.0862084 -0.45735047 -0.8397008 0.2042601
808c808
< 4.63174 1.68008 2.24468 -0.12939 -0.01205
---
> 4.62970 1.67974 2.24826 -0.12967 -0.01247
813,817c813,815
< BFGSR maximization, 90 iterations
< Return code 3: Last step could not find a value above the current.
< Boundary of parameter space?
< Consider switching to a more robust optimisation method temporarily.
< Log-Likelihood: -73.19885
---
> BFGSR maximization, 75 iterations
> Return code 2: successive function values within tolerance limit
> Log-Likelihood: -73.19889
821,825c819,823
< (Intercept) 4.631743 0.474760 9.7560 < 2.2e-16 ***
< x1 1.680082 0.209308 8.0269 1e-15 ***
< x2 2.244683 0.674211 3.3293 0.0008705 ***
< logSigmaMu -0.129395 0.258125 -0.5013 0.6161688
< logSigmaNu -0.012046 0.129737 -0.0929 0.9260221
---
> (Intercept) 4.629702 0.474777 9.7513 < 2.2e-16 ***
> x1 1.679738 0.209226 8.0284 9.878e-16 ***
> x2 2.248262 0.674033 3.3355 0.0008513 ***
> logSigmaMu -0.129673 0.258097 -0.5024 0.6153734
> logSigmaNu -0.012466 0.129691 -0.0961 0.9234264
840,844c838,842
< (Intercept) 4.63174 0.47476 9.756 < 2e-16 ***
< x1 1.68008 0.20931 8.027 1e-15 ***
< x2 2.24468 0.67421 3.329 0.000871 ***
< logSigmaMu -0.12939 0.25812 -0.501 0.616169
< logSigmaNu -0.01205 0.12974 -0.093 0.926022
---
> (Intercept) 4.62970 0.47478 9.751 < 2e-16 ***
> x1 1.67974 0.20923 8.028 9.88e-16 ***
> x2 2.24826 0.67403 3.336 0.000851 ***
> logSigmaMu -0.12967 0.25810 -0.502 0.615373
> logSigmaNu -0.01247 0.12969 -0.096 0.923426
848,852c846,848
< BFGSR maximization, 90 iterations
< Return code 3: Last step could not find a value above the current.
< Boundary of parameter space?
< Consider switching to a more robust optimisation method temporarily.
< Log-likelihood: -73.19885 on 5 Df
---
> BFGSR maximization, 75 iterations
> Return code 2: successive function values within tolerance limit
> Log-likelihood: -73.19889 on 5 Df
856c852
< 4.63174335 1.68008205 2.24468316 -0.12939475 -0.01204622
---
> 4.62970160 1.67973837 2.24826176 -0.12967269 -0.01246575
859c855
< 4.6317434 1.6800820 2.2446832 0.8786271 0.9880260
---
> 4.6297016 1.6797384 2.2482618 0.8783829 0.9876116
862,866c858,862
< (Intercept) 0.225396764 -0.020628516 -0.254910180 -0.023950495 -0.003026075
< x1 -0.020628516 0.043809641 0.008623577 0.013422324 0.002970615
< x2 -0.254910180 0.008623577 0.454560907 0.017276793 0.001613806
< logSigmaMu -0.023950495 0.013422324 0.017276793 0.066628414 -0.002637748
< logSigmaNu -0.003026075 0.002970615 0.001613806 -0.002637748 0.016831788
---
> (Intercept) 0.225413235 -0.020660460 -0.254872111 -0.024058747 -0.003055367
> x1 -0.020660460 0.043775353 0.008670292 0.013424948 0.002954403
> x2 -0.254872111 0.008670292 0.454320177 0.017344565 0.001704899
> logSigmaMu -0.024058747 0.013424948 0.017344565 0.066614118 -0.002644224
> logSigmaNu -0.003055367 0.002954403 0.001704899 -0.002644224 0.016819840
869,873c865,869
< (Intercept) 0.225396764 -0.020628516 -0.254910180 -0.021043553 -0.002989841
< x1 -0.020628516 0.043809641 0.008623577 0.011793217 0.002935045
< x2 -0.254910180 0.008623577 0.454560907 0.015179858 0.001594483
< sigmaMu -0.021043553 0.011793217 0.015179858 0.051436170 -0.002289846
< sigmaNu -0.002989841 0.002935045 0.001594483 -0.002289846 0.016431115
---
> (Intercept) 0.225413235 -0.020660460 -0.254872111 -0.021132792 -0.003017516
> x1 -0.020660460 0.043775353 0.008670292 0.011792244 0.002917803
> x2 -0.254872111 0.008670292 0.454320177 0.015235169 0.001683778
> sigmaMu -0.021132792 0.011792244 0.015235169 0.051396556 -0.002293867
> sigmaNu -0.003017516 0.002917803 0.001683778 -0.002293867 0.016405681
875c871
< 'log Lik.' -73.19885 (df=5)
---
> 'log Lik.' -73.19889 (df=5)
879c875
< [1] -40.0000 156.3977
---
> [1] -40.0000 156.3978
882c878
< [1] -73.19885
---
> [1] -73.19889
886c882
< 4.63174335 1.68008205 2.24468316 -0.12939475 -0.01204622
---
> 4.62970160 1.67973837 2.24826176 -0.12967269 -0.01246575
890c886
< 0.0037186680 0.0029193932 -0.0069883307 -0.0005567257 -0.0207989518
---
> 0.007307875 0.009883823 -0.013334396 0.006186400 0.005241257
894,898c890,894
< (Intercept) -13.313117 -4.093675 -7.3029549 -2.1188261 -1.3028403
< x1 -4.093675 -26.057766 -1.9885419 4.4817334 4.7559200
< x2 -7.302955 -1.988542 -6.2321064 -0.6268831 -0.4627104
< logSigmaMu -2.118826 4.481733 -0.6268832 -16.6579108 -3.7222986
< logSigmaNu -1.302840 4.755920 -0.4627104 -3.7222986 -61.0239547
---
> (Intercept) -13.320457 -4.097602 -7.3082204 -2.1336126 -1.2945958
> x1 -4.097602 -26.078345 -1.9899709 4.4821291 4.7426563
> x2 -7.308220 -1.989971 -6.2371991 -0.6321033 -0.4451737
> logSigmaMu -2.133613 4.482129 -0.6321033 -16.6692492 -3.7313402
> logSigmaNu -1.294596 4.742656 -0.4451737 -3.7313402 -61.0632866
901c897
< [1] 3
---
> [1] 2
904c900
< [1] "Last step could not find a value above the current.\nBoundary of parameter space? \nConsider switching to a more robust optimisation method temporarily."
---
> [1] "successive function values within tolerance limit"
907,933c903
< $last.step$theta0
< (Intercept) x1 x2 logSigmaMu logSigmaNu
< 4.63188390 1.68016973 2.24442694 -0.12939858 -0.01261047
<
< $last.step$f0
< [1] -73.19884
< attr(,"gradient")
< [,1] [,2] [,3] [,4] [,5]
< [1,] -0.85286611 0.22463065 -0.07312850 -0.1441534 -0.9639902
< [2,] -1.70327630 0.04735108 -1.19060781 1.6820194 -1.0128851
< [3,] 1.75088497 0.33300834 1.72669591 1.8362459 1.8008228
< [4,] 0.15547835 -0.20296485 -0.43334452 -0.6891200 -1.4302961
< [5,] 0.12976634 0.98364838 0.68857125 -0.6769830 -0.5579278
< [6,] 0.33013191 -0.30779587 0.38425939 -0.4919941 -1.5801555
< [7,] -0.08084964 -3.18729687 -0.23710777 -0.6770477 6.0337712
< [8,] -0.26608433 0.37826082 0.05573919 -0.5389411 -1.1086524
< [9,] 1.14875787 0.59391756 0.30331720 0.1340696 -1.6160020
< [10,] -0.43437430 -0.40590732 -0.15226221 -0.4692178 -1.9363560
< [11,] -0.02798748 1.44976370 -0.64462137 -0.9181009 2.7411554
< [12,] 1.21020090 0.53773121 0.61206004 0.2051007 -1.7336842
< [13,] 0.53652204 -0.22551989 0.33132068 -0.3684760 -1.4079684
< [14,] -1.81487122 -1.30761887 -0.91991276 1.9587229 2.5805546
< [15,] -0.07733196 1.08665611 -0.45730799 -0.8402610 0.2056319
<
< $last.step$climb
< [1] 2414644.16 1506434.18 -4401688.71 -65821.88 -9693687.32
<
---
> NULL
940c910
< [1] 90
---
> [1] 75
947,961c917,931
< [1,] -0.85223165 0.22410265 -0.07323329 -0.1445189 -0.9656273
< [2,] -1.70314312 0.04723958 -1.19043748 1.6815308 -1.0125828
< [3,] 1.74999748 0.33428110 1.72542279 1.8339324 1.7973725
< [4,] 0.15599065 -0.20275591 -0.43246678 -0.6890030 -1.4320766
< [5,] 0.12964306 0.98332196 0.68784819 -0.6768013 -0.5595598
< [6,] 0.33045698 -0.30651248 0.38415587 -0.4921826 -1.5819956
< [7,] -0.08087882 -3.18330503 -0.23684449 -0.6766695 6.0242109
< [8,] -0.26631185 0.37837805 0.05560644 -0.5385733 -1.1091485
< [9,] 1.14840648 0.59360799 0.30324741 0.1340985 -1.6165093
< [10,] -0.43437210 -0.40519882 -0.15233207 -0.4693800 -1.9372154
< [11,] -0.02816531 1.44855002 -0.64419111 -0.9173293 2.7357612
< [12,] 1.21034893 0.53758981 0.61219223 0.2056122 -1.7349222
< [13,] 0.53611086 -0.22501387 0.33104492 -0.3690058 -1.4089585
< [14,] -1.81433849 -1.30696946 -0.91983764 1.9573550 2.5773949
< [15,] -0.07779444 1.08560381 -0.45716333 -0.8396220 0.2030574
---
> [1,] -0.85234478 0.22391255 -0.07352168 -0.1446474 -0.9667939
> [2,] -1.70440691 0.04648408 -1.19187418 1.6836901 -1.0116930
> [3,] 1.75174657 0.33535241 1.72587454 1.8367494 1.7958201
> [4,] 0.15579094 -0.20309642 -0.43362554 -0.6891859 -1.4267967
> [5,] 0.12991963 0.98333538 0.68739315 -0.6767124 -0.5620972
> [6,] 0.33086011 -0.30311404 0.38387759 -0.4917565 -1.5823937
> [7,] -0.07989148 -3.18597288 -0.23681005 -0.6769023 6.0302925
> [8,] -0.26596451 0.37804584 0.05556194 -0.5387087 -1.1089943
> [9,] 1.14932504 0.59476363 0.30337878 0.1352853 -1.6147885
> [10,] -0.43413381 -0.40461336 -0.15239416 -0.4696682 -1.9371976
> [11,] -0.02782997 1.45111717 -0.64509342 -0.9178916 2.7444007
> [12,] 1.21065533 0.53914179 0.61120668 0.2059469 -1.7330972
> [13,] 0.53650159 -0.22510291 0.33108334 -0.3687683 -1.4084656
> [14,] -1.81538737 -1.30822940 -0.92054812 1.9588064 2.5784263
> [15,] -0.07753252 1.08785999 -0.45784326 -0.8400504 0.2086192
1027c997
< 0.36897 -1.68022 -2.24554 -0.12924 -0.01237
---
> 0.36750 -1.67993 -2.24379 -0.12947 -0.01241
1032c1002
< BFGSR maximization, 75 iterations
---
> BFGSR maximization, 78 iterations
1034c1004
< Log-Likelihood: -73.19885
---
> Log-Likelihood: -73.19883
1038,1042c1008,1012
< (Intercept) 0.368971 0.474821 0.7771 0.4371156
< x1 -1.680224 0.209267 -8.0291 9.82e-16 ***
< x2 -2.245538 0.674078 -3.3313 0.0008645 ***
< logSigmaMu -0.129236 0.258017 -0.5009 0.6164535
< logSigmaNu -0.012372 0.129700 -0.0954 0.9240058
---
> (Intercept) 0.367502 0.474613 0.7743 0.4387426
> x1 -1.679929 0.209229 -8.0291 9.816e-16 ***
> x2 -2.243794 0.673969 -3.3292 0.0008709 ***
> logSigmaMu -0.129473 0.258047 -0.5017 0.6158482
> logSigmaNu -0.012409 0.129690 -0.0957 0.9237740
1058,1062c1028,1032
< (Intercept) 0.36897 0.47482 0.777 0.437116
< x1 -1.68022 0.20927 -8.029 9.82e-16 ***
< x2 -2.24554 0.67408 -3.331 0.000864 ***
< logSigmaMu -0.12924 0.25802 -0.501 0.616453
< logSigmaNu -0.01237 0.12970 -0.095 0.924006
---
> (Intercept) 0.36750 0.47461 0.774 0.438743
> x1 -1.67993 0.20923 -8.029 9.82e-16 ***
> x2 -2.24379 0.67397 -3.329 0.000871 ***
> logSigmaMu -0.12947 0.25805 -0.502 0.615848
> logSigmaNu -0.01241 0.12969 -0.096 0.923774
1066c1036
< BFGSR maximization, 75 iterations
---
> BFGSR maximization, 78 iterations
1068c1038
< Log-likelihood: -73.19885 on 5 Df
---
> Log-likelihood: -73.19883 on 5 Df
1072c1042
< 0.36897087 -1.68022403 -2.24553793 -0.12923636 -0.01237201
---
> 0.36750163 -1.67992931 -2.24379444 -0.12947348 -0.01240886
1075c1045
< 0.3689709 -1.6802240 -2.2455379 0.8787662 0.9877042
---
> 0.3675016 -1.6799293 -2.2437944 0.8785579 0.9876678
1078,1082c1048,1052
< (Intercept) 0.225455197 -0.020650584 -0.254883359 0.024003549 0.003026515
< x1 -0.020650584 0.043792788 0.008642684 -0.013417342 -0.002971698
< x2 -0.254883359 0.008642684 0.454380546 -0.017287608 -0.001631841
< logSigmaMu 0.024003549 -0.013417342 -0.017287608 0.066572805 -0.002630017
< logSigmaNu 0.003026515 -0.002971698 -0.001631841 -0.002630017 0.016822216
---
> (Intercept) 0.22525765 -0.020606031 -0.254727485 0.023900534 0.003010360
> x1 -0.02060603 0.043776857 0.008606687 -0.013409282 -0.002965503
> x2 -0.25472748 0.008606687 0.454234549 -0.017236296 -0.001593108
> logSigmaMu 0.02390053 -0.013409282 -0.017236296 0.066588439 -0.002635405
> logSigmaNu 0.00301036 -0.002965503 -0.001593108 -0.002635405 0.016819519
1085,1089c1055,1059
< (Intercept) 0.225455197 -0.020650584 -0.254883359 0.021093509 0.002989301
< x1 -0.020650584 0.043792788 0.008642684 -0.011790707 -0.002935158
< x2 -0.254883359 0.008642684 0.454380546 -0.015191767 -0.001611777
< sigmaMu 0.021093509 -0.011790707 -0.015191767 0.051409524 -0.002282753
< sigmaNu 0.002989301 -0.002935158 -0.001611777 -0.002282753 0.016411075
---
> (Intercept) 0.225257647 -0.020606031 -0.254727485 0.020998003 0.002973236
> x1 -0.020606031 0.043776857 0.008606687 -0.011780830 -0.002928932
> x2 -0.254727485 0.008606687 0.454234549 -0.015143084 -0.001573462
> sigmaMu 0.020998003 -0.011780830 -0.015143084 0.051397216 -0.002286802
> sigmaNu 0.002973236 -0.002928932 -0.001573462 -0.002286802 0.016407234
1091c1061
< 'log Lik.' -73.19885 (df=5)
---
> 'log Lik.' -73.19883 (df=5)
1096c1066
< [1] -73.19885
---
> [1] -73.19883
1100c1070
< 0.36897087 -1.68022403 -2.24553793 -0.12923636 -0.01237201
---
> 0.36750163 -1.67992931 -2.24379444 -0.12947348 -0.01240886
1104c1074
< -0.0064895857 0.0003972352 0.0073323958 -0.0003688104 -0.0002913372
---
> -0.0014212306 -0.0034992596 0.0064419525 0.0003782988 0.0003341343
1108,1112c1078,1082
< (Intercept) -13.311348 -4.095493 -7.3034143 2.1287705 1.2957339
< x1 -4.095493 -26.069920 -1.9891192 -4.4822283 -4.7622215
< x2 -7.303414 -1.989119 -6.2341217 0.6315936 0.4565888
< logSigmaMu 2.128770 -4.482228 0.6315936 -16.6750365 -3.7205300
< logSigmaNu 1.295734 -4.762221 0.4565888 -3.7205299 -61.0569624
---
> (Intercept) -13.317517 -4.096146 -7.3057987 2.1155739 1.300861
> x1 -4.096146 -26.075639 -1.9898094 -4.4840349 -4.755412
> x2 -7.305799 -1.989809 -6.2353998 0.6259168 0.464233
> logSigmaMu 2.115574 -4.484035 0.6259168 -16.6651955 -3.721179
> logSigmaNu 1.300861 -4.755412 0.4642330 -3.7211788 -61.065093
1128c1098
< [1] 75
---
> [1] 78
1135,1149c1105,1119
< [1,] 0.85228129 -0.2242603 0.07322557 -0.1444838 -0.9658712
< [2,] 1.70283214 -0.0471698 1.19039665 1.6815304 -1.0127848
< [3,] -1.75022883 -0.3332204 -1.72570422 1.8353728 1.7979847
< [4,] -0.15565665 0.2030313 0.43318276 -0.6889235 -1.4300833
< [5,] -0.12984170 -0.9832540 -0.68801275 -0.6768862 -0.5596233
< [6,] -0.33024035 0.3069799 -0.38412809 -0.4919067 -1.5813476
< [7,] 0.08041477 3.1858642 0.23691529 -0.6770615 6.0310287
< [8,] 0.26584674 -0.3780840 -0.05576021 -0.5389585 -1.1086395
< [9,] -1.14864523 -0.5936484 -0.30326958 0.1343575 -1.6158935
< [10,] 0.43393095 0.4053375 0.15210309 -0.4695766 -1.9367093
< [11,] 0.02789990 -1.4496008 0.64449125 -0.9181238 2.7400344
< [12,] -1.21002456 -0.5378388 -0.61172468 0.2051115 -1.7339127
< [13,] -0.53659254 0.2254265 -0.33129084 -0.3683897 -1.4083655
< [14,] 1.81430311 1.3073121 0.91972993 1.9579944 2.5783401
< [15,] 0.07723136 -1.0864779 0.45717824 -0.8404251 0.2055513
---
> [1,] 0.85278081 -0.2247850 0.07302970 -0.1442070 -0.9634923
> [2,] 1.70342425 -0.0476419 1.19055345 1.6820162 -1.0127268
> [3,] -1.75059965 -0.3340379 -1.72645582 1.8351650 1.8000202
> [4,] -0.15552297 0.2026892 0.43296702 -0.6893599 -1.4315786
> [5,] -0.12953233 -0.9838683 -0.68846571 -0.6770129 -0.5576955
> [6,] -0.33020957 0.3070305 -0.38415893 -0.4921914 -1.5806796
> [7,] 0.08124385 3.1854369 0.23706941 -0.6768114 6.0284476
> [8,] 0.26650783 -0.3785437 -0.05560267 -0.5386742 -1.1090288
> [9,] -1.14849813 -0.5942606 -0.30325840 0.1336487 -1.6163416
> [10,] 0.43466534 0.4056715 0.15242875 -0.4690608 -1.9368240
> [11,] 0.02815366 -1.4492071 0.64446998 -0.9176305 2.7387662
> [12,] -1.21036511 -0.5376472 -0.61231215 0.2052291 -1.7342086
> [13,] -0.53592238 0.2250517 -0.33100094 -0.3690601 -1.4085335
> [14,] 1.81473915 1.3068211 0.91982779 1.9580283 2.5799493
> [15,] 0.07771403 -1.0862084 0.45735047 -0.8397008 0.2042601
1216c1186
< -4.63345 -1.68003 -2.24189 -0.12942 -0.01238
---
> -4.63391 -1.68002 -2.24127 -0.12953 -0.01241
1221c1191
< BFGSR maximization, 74 iterations
---
> BFGSR maximization, 73 iterations
1223c1193
< Log-Likelihood: -73.19883
---
> Log-Likelihood: -73.19882
1227,1231c1197,1201
< (Intercept) -4.633448 0.474572 -9.7634 < 2.2e-16 ***
< x1 -1.680032 0.209235 -8.0294 9.794e-16 ***
< x2 -2.241889 0.673951 -3.3265 0.0008795 ***
< logSigmaMu -0.129417 0.258049 -0.5015 0.6160035
< logSigmaNu -0.012385 0.129694 -0.0955 0.9239230
---
> (Intercept) -4.633912 0.474500 -9.7659 < 2.2e-16 ***
> x1 -1.680022 0.209226 -8.0297 9.772e-16 ***
> x2 -2.241274 0.673908 -3.3258 0.0008817 ***
> logSigmaMu -0.129526 0.258065 -0.5019 0.6157303
> logSigmaNu -0.012412 0.129690 -0.0957 0.9237579
1247,1251c1217,1221
< (Intercept) -4.63345 0.47457 -9.763 < 2e-16 ***
< x1 -1.68003 0.20923 -8.029 9.79e-16 ***
< x2 -2.24189 0.67395 -3.326 0.000879 ***
< logSigmaMu -0.12942 0.25805 -0.502 0.616003
< logSigmaNu -0.01238 0.12969 -0.095 0.923923
---
> (Intercept) -4.63391 0.47450 -9.766 < 2e-16 ***
> x1 -1.68002 0.20923 -8.030 9.77e-16 ***
> x2 -2.24127 0.67391 -3.326 0.000882 ***
> logSigmaMu -0.12953 0.25807 -0.502 0.615730
> logSigmaNu -0.01241 0.12969 -0.096 0.923758
1255c1225
< BFGSR maximization, 74 iterations
---
> BFGSR maximization, 73 iterations
1257c1227
< Log-likelihood: -73.19883 on 5 Df
---
> Log-likelihood: -73.19882 on 5 Df
1261c1231
< -4.63344814 -1.68003162 -2.24188914 -0.12941748 -0.01238488
---
> -4.63391165 -1.68002232 -2.24127447 -0.12952582 -0.01241152
1264c1234
< -4.6334481 -1.6800316 -2.2418891 0.8786071 0.9876915
---
> -4.6339117 -1.6800223 -2.2412745 0.8785119 0.9876652
1267,1271c1237,1241
< (Intercept) 0.225218394 -0.020592616 -0.254689867 0.023875045 0.002988154
< x1 -0.020592616 0.043779168 0.008583649 -0.013407131 -0.002969536
< x2 -0.254689867 0.008583649 0.454209682 -0.017208005 -0.001539475
< logSigmaMu 0.023875045 -0.013407131 -0.017208005 0.066589400 -0.002635292
< logSigmaNu 0.002988154 -0.002969536 -0.001539475 -0.002635292 0.016820461
---
> (Intercept) 0.225149823 -0.020580559 -0.254635601 0.023847765 0.002981648
> x1 -0.020580559 0.043775600 0.008573460 -0.013405916 -0.002969797
> x2 -0.254635601 0.008573460 0.454151985 -0.017194816 -0.001524188
> logSigmaMu 0.023847765 -0.013405916 -0.017194816 0.066597765 -0.002638193
> logSigmaNu 0.002981648 -0.002969797 -0.001524188 -0.002638193 0.016819556
1274,1278c1244,1248
< (Intercept) 0.225218394 -0.020592616 -0.254689867 0.020976784 0.002951374
< x1 -0.020592616 0.043779168 0.008583649 -0.011779601 -0.002932986
< x2 -0.254689867 0.008583649 0.454209682 -0.015119075 -0.001520526
< sigmaMu 0.020976784 -0.011779601 -0.015119075 0.051403715 -0.002286888
< sigmaNu 0.002951374 -0.002932986 -0.001520526 -0.002286888 0.016408940
---
> (Intercept) 0.22514982 -0.020580559 -0.254635601 0.020950545 0.002944870
> x1 -0.02058056 0.043775600 0.008573460 -0.011777256 -0.002933165
> x2 -0.25463560 0.008573460 0.454151985 -0.015105851 -0.001505387
> sigmaMu 0.02095055 -0.011777256 -0.015105851 0.051399034 -0.002289095
> sigmaNu 0.00294487 -0.002933165 -0.001505387 -0.002289095 0.016407183
1280c1250
< 'log Lik.' -73.19883 (df=5)
---
> 'log Lik.' -73.19882 (df=5)
1282c1252
< [1] -40.0000 156.3977
---
> [1] -40.0000 156.3976
1285c1255
< [1] -73.19883
---
> [1] -73.19882
1289c1259
< -4.63344814 -1.68003162 -2.24188914 -0.12941748 -0.01238488
---
> -4.63391165 -1.68002232 -2.24127447 -0.12952582 -0.01241152
1293c1263
< -0.002123408 -0.001097952 0.001750535 -0.001001249 -0.001196095
---
> -7.425390e-04 -5.237316e-05 1.205358e-03 2.666987e-04 4.763349e-04
1297,1301c1267,1271
< (Intercept) -13.318039 -4.096067 -7.3059265 2.1140279 1.3053580
< x1 -4.096067 -26.074471 -1.9900492 -4.4838889 -4.7602379
< x2 -7.305927 -1.990049 -6.2353534 0.6262197 0.4739949
< logSigmaMu 2.114028 -4.483889 0.6262197 -16.6635735 -3.7205548
< logSigmaNu 1.305358 -4.760238 0.4739949 -3.7205548 -61.0632098
---
> (Intercept) -13.321012 -4.096571 -7.3072433 2.1105735 1.306995
> x1 -4.096571 -26.076360 -1.9903898 -4.4846924 -4.761848
> x2 -7.307243 -1.990390 -6.2361292 0.6247544 0.476812
> logSigmaMu 2.110574 -4.484692 0.6247544 -16.6602022 -3.722583
> logSigmaNu 1.306995 -4.761848 0.4768120 -3.7225828 -61.067774
1317c1287
< [1] 74
---
> [1] 73
1324,1338c1294,1308
< [1,] 0.85275510 -0.2253449 0.07271507 -0.1441970 -0.9623202
< [2,] 1.70286514 -0.0481813 1.18988740 1.6807756 -1.0132038
< [3,] -1.75056648 -0.3336249 -1.72697422 1.8353401 1.8023728
< [4,] -0.15571752 0.2025458 0.43249803 -0.6890524 -1.4338498
< [5,] -0.12958959 -0.9840708 -0.68904277 -0.6770001 -0.5557863
< [6,] -0.33033787 0.3085228 -0.38453561 -0.4920214 -1.5800186
< [7,] 0.08164060 3.1852426 0.23714255 -0.6767763 6.0278286
< [8,] 0.26656630 -0.3786713 -0.05569219 -0.5387071 -1.1089617
< [9,] -1.14829763 -0.5939541 -0.30326194 0.1332924 -1.6168694
< [10,] 0.43465352 0.4060156 0.15231947 -0.4690380 -1.9366086
< [11,] 0.02823326 -1.4484145 0.64417579 -0.9175582 2.7363643
< [12,] -1.21029146 -0.5370063 -0.61281976 0.2053673 -1.7347810
< [13,] -0.53606437 0.2252439 -0.33118073 -0.3689196 -1.4083743
< [14,] 1.81434150 1.3061014 0.91943827 1.9572293 2.5804799
< [15,] 0.07768608 -1.0855019 0.45708119 -0.8397356 0.2025320
---
> [1,] 0.85300597 -0.22538442 0.07270967 -0.1440551 -0.9615875
> [2,] 1.70313415 -0.04819704 1.19001008 1.6809910 -1.0132088
> [3,] -1.75081925 -0.33365931 -1.72733510 1.8354213 1.8035220
> [4,] -0.15575929 0.20248810 0.43239154 -0.6891027 -1.4343552
> [5,] -0.12954290 -0.98419670 -0.68923518 -0.6769998 -0.5551304
> [6,] -0.33034949 0.30889860 -0.38462520 -0.4921179 -1.5796319
> [7,] 0.08189456 3.18535013 0.23720553 -0.6766812 6.0277787
> [8,] 0.26673068 -0.37878111 -0.05566019 -0.5386220 -1.1090629
> [9,] -1.14832130 -0.59395010 -0.30328878 0.1331873 -1.6170652
> [10,] 0.43493369 0.40626633 0.15243113 -0.4688524 -1.9365296
> [11,] 0.02832945 -1.44822208 0.64415440 -0.9173654 2.7358109
> [12,] -1.21044619 -0.53688713 -0.61307141 0.2055182 -1.7349351
> [13,] -0.53600998 0.22524959 -0.33118372 -0.3690370 -1.4082862
> [14,] 1.81463246 1.30632858 0.91958449 1.9574877 2.5811938
> [15,] 0.07784490 -1.08535582 0.45711810 -0.8395052 0.2019637
1405c1375
< -0.231809 1.892789 1.966570 0.001342 0.052648
---
> -0.233782 1.893280 1.969602 0.001543 0.052867
1410,1412c1380,1384
< BFGSR maximization, 93 iterations
< Return code 2: successive function values within tolerance limit
< Log-Likelihood: -64.31275
---
> BFGSR maximization, 96 iterations
> Return code 3: Last step could not find a value above the current.
> Boundary of parameter space?
> Consider switching to a more robust optimisation method temporarily.
> Log-Likelihood: -64.31273
1416,1420c1388,1392
< (Intercept) -0.2318087 0.5479999 -0.4230 0.67229
< x1 1.8927887 0.3009664 6.2890 3.194e-10 ***
< x2 1.9665695 0.8183854 2.4030 0.01626 *
< logSigmaMu 0.0013416 0.2778671 0.0048 0.99615
< logSigmaNu 0.0526482 0.1629794 0.3230 0.74667
---
> (Intercept) -0.2337822 0.5483289 -0.4264 0.66985
> x1 1.8932801 0.3011173 6.2875 3.226e-10 ***
> x2 1.9696025 0.8188341 2.4054 0.01616 *
> logSigmaMu 0.0015433 0.2778758 0.0056 0.99557
> logSigmaNu 0.0528675 0.1630158 0.3243 0.74570
1436,1440c1408,1412
< (Intercept) -0.231809 0.548000 -0.423 0.6723
< x1 1.892789 0.300966 6.289 3.19e-10 ***
< x2 1.966570 0.818385 2.403 0.0163 *
< logSigmaMu 0.001342 0.277867 0.005 0.9961
< logSigmaNu 0.052648 0.162979 0.323 0.7467
---
> (Intercept) -0.233782 0.548329 -0.426 0.6698
> x1 1.893280 0.301117 6.288 3.23e-10 ***
> x2 1.969602 0.818834 2.405 0.0162 *
> logSigmaMu 0.001543 0.277876 0.006 0.9956
> logSigmaNu 0.052867 0.163016 0.324 0.7457
1444,1446c1416,1420
< BFGSR maximization, 93 iterations
< Return code 2: successive function values within tolerance limit
< Log-likelihood: -64.31275 on 5 Df
---
> BFGSR maximization, 96 iterations
> Return code 3: Last step could not find a value above the current.
> Boundary of parameter space?
> Consider switching to a more robust optimisation method temporarily.
> Log-likelihood: -64.31273 on 5 Df
1460,1464c1434,1438
< (Intercept) -0.2318 0.5480 -0.423 0.67229
< x1 1.8928 0.3010 6.289 3.19e-10 ***
< x2 1.9666 0.8184 2.403 0.01626 *
< sigmaMu 1.0013 0.2782 3.599 0.00032 ***
< sigmaNu 1.0541 0.1718 6.136 8.48e-10 ***
---
> (Intercept) -0.2338 0.5483 -0.426 0.66985
> x1 1.8933 0.3011 6.288 3.23e-10 ***
> x2 1.9696 0.8188 2.405 0.01616 *
> sigmaMu 1.0015 0.2783 3.599 0.00032 ***
> sigmaNu 1.0543 0.1719 6.134 8.55e-10 ***
1468,1470c1442,1446
< BFGSR maximization, 93 iterations
< Return code 2: successive function values within tolerance limit
< Log-likelihood: -64.31275 on 5 Df
---
> BFGSR maximization, 96 iterations
> Return code 3: Last step could not find a value above the current.
> Boundary of parameter space?
> Consider switching to a more robust optimisation method temporarily.
> Log-likelihood: -64.31273 on 5 Df
1474c1450
< -0.231808664 1.892788680 1.966569534 0.001341642 0.052648154
---
> -0.23378216 1.89328013 1.96960246 0.00154326 0.05286747
1477c1453
< -0.2318087 1.8927887 1.9665695 1.0013425 1.0540587
---
> -0.2337822 1.8932801 1.9696025 1.0015445 1.0542899
1480,1484c1456,1460
< (Intercept) 0.30030384 -0.03126869 -0.36360982 -0.015830075 -0.016309358
< x1 -0.03126869 0.09058076 0.03162542 0.035164052 0.015901459
< x2 -0.36360982 0.03162542 0.66975472 0.018502765 0.024363740
< logSigmaMu -0.01583008 0.03516405 0.01850277 0.077210127 0.004323074
< logSigmaNu -0.01630936 0.01590146 0.02436374 0.004323074 0.026562271
---
> (Intercept) 0.30066457 -0.03140943 -0.36406867 -0.015974524 -0.016384019
> x1 -0.03140943 0.09067161 0.03182344 0.035194978 0.015930682
> x2 -0.36406867 0.03182344 0.67048933 0.018652238 0.024503878
> logSigmaMu -0.01597452 0.03519498 0.01865224 0.077214979 0.004337456
> logSigmaNu -0.01638402 0.01593068 0.02450388 0.004337456 0.026574149
1487,1491c1463,1467
< (Intercept) 0.30030384 -0.03126869 -0.36360982 -0.015851328 -0.017191021
< x1 -0.03126869 0.09058076 0.03162542 0.035211261 0.016761072
< x2 -0.36360982 0.03162542 0.66975472 0.018527606 0.025680812
< sigmaMu -0.01585133 0.03521126 0.01852761 0.077417582 0.004562891
< sigmaNu -0.01719102 0.01676107 0.02568081 0.004562891 0.029511740
---
> (Intercept) 0.30066457 -0.03140943 -0.36406867 -0.015999196 -0.017273506
> x1 -0.03140943 0.09067161 0.03182344 0.035249335 0.016795557
> x2 -0.36406867 0.03182344 0.67048933 0.018681045 0.025834191
> sigmaMu -0.01599920 0.03524934 0.01868105 0.077453673 0.004579999
> sigmaNu -0.01727351 0.01679556 0.02583419 0.004579999 0.029537890
1494,1498c1470,1474
< (Intercept) -0.231808664 0.5479999 -0.42300862 6.722890e-01
< x1 1.892788680 0.3009664 6.28903708 3.194412e-10
< x2 1.966569534 0.8183854 2.40298698 1.626177e-02
< logSigmaMu 0.001341642 0.2778671 0.00482836 9.961475e-01
< logSigmaNu 0.052648154 0.1629794 0.32303572 7.466682e-01
---
> (Intercept) -0.23378216 0.5483289 -0.426353903 6.698500e-01
> x1 1.89328013 0.3011173 6.287517678 3.225823e-10
> x2 1.96960246 0.8188341 2.405374171 1.615591e-02
> logSigmaMu 0.00154326 0.2778758 0.005553777 9.955687e-01
> logSigmaNu 0.05286747 0.1630158 0.324308863 7.457042e-01
1501,1505c1477,1481
< (Intercept) -0.2318087 0.5479999 -0.4230086 6.722890e-01
< x1 1.8927887 0.3009664 6.2890371 3.194412e-10
< x2 1.9665695 0.8183854 2.4029870 1.626177e-02
< sigmaMu 1.0013425 0.2782402 3.5988427 3.196364e-04
< sigmaNu 1.0540587 0.1717898 6.1357463 8.476031e-10
---
> (Intercept) -0.2337822 0.5483289 -0.4263539 6.698500e-01
> x1 1.8932801 0.3011173 6.2875177 3.225823e-10
> x2 1.9696025 0.8188341 2.4053742 1.615591e-02
> sigmaMu 1.0015445 0.2783050 3.5987296 3.197754e-04
> sigmaNu 1.0542899 0.1718659 6.1343749 8.549467e-10
1507c1483
< 'log Lik.' -64.31275 (df=5)
---
> 'log Lik.' -64.31273 (df=5)
1514c1490
< [1] -64.31275
---
> [1] -64.31273
1518c1494
< -0.231808664 1.892788680 1.966569534 0.001341642 0.052648154
---
> -0.23378216 1.89328013 1.96960246 0.00154326 0.05286747
1522c1498
< -0.0055781391 0.0008408033 0.0054563581 0.0028098947 -0.0004470209
---
> -0.002894857 -0.002369745 0.002610000 0.003016516 -0.002543448
1526,1530c1502,1506
< (Intercept) -9.93622982 -1.4930637 -5.3101987 -0.0664190 -0.3255823
< x1 -1.49306373 -15.1479330 -0.5467541 6.2966664 7.6282388
< x2 -5.31019869 -0.5467541 -4.3933871 0.1531172 1.0716575
< logSigmaMu -0.06641899 6.2966664 0.1531172 -15.7923968 -1.3804634
< logSigmaNu -0.32558233 7.6282388 1.0716575 -1.3804634 -43.1722084
---
> (Intercept) -9.92921213 -1.4915778 -5.3068262 -0.07430279 -0.3220588
> x1 -1.49157779 -15.1380768 -0.5453987 6.29452164 7.6308755
> x2 -5.30682618 -0.5453987 -4.3907451 0.15071751 1.0791686
> logSigmaMu -0.07430279 6.2945216 0.1507175 -15.79417345 -1.3802899
> logSigmaNu -0.32205878 7.6308755 1.0791686 -1.38028985 -43.1734818
1533c1509
< [1] 2
---
> [1] 3
1536c1512
< [1] "successive function values within tolerance limit"
---
> [1] "Last step could not find a value above the current.\nBoundary of parameter space? \nConsider switching to a more robust optimisation method temporarily."
1539c1515,1541
< NULL
---
> $last.step$theta0
> (Intercept) x1 x2 logSigmaMu logSigmaNu
> -0.233805135 1.893310605 1.969641022 0.001551443 0.052675686
>
> $last.step$f0
> [1] -64.31273
> attr(,"gradient")
> [,1] [,2] [,3] [,4] [,5]
> [1,] -0.85417510 -0.10609337 -0.18146777 -0.0235494 -0.8369719
> [2,] -1.41680128 -0.02702422 -0.97196805 1.4567554 -1.1645981
> [3,] 1.29745993 1.02088535 0.92544703 1.0920903 0.1540724
> [4,] 0.07075595 -0.25207707 -0.39840982 -0.7015966 -1.8261020
> [5,] 0.08922410 0.80745931 0.64769792 -0.6906630 -0.2847701
> [6,] 0.55923778 0.49468626 0.42897976 -0.2914444 -0.3603540
> [7,] -0.12034788 -3.06219247 -0.23674144 -0.7063845 6.3455056
> [8,] -0.20961505 0.33550846 0.08326478 -0.5906480 -1.0295346
> [9,] 1.03436546 0.66021829 0.28832659 0.1971790 -1.2970105
> [10,] -0.42828980 -0.58564682 -0.11733332 -0.3957152 -1.8006439
> [11,] -0.04064163 1.09509187 -0.50821521 -0.8668820 2.0017961
> [12,] 1.14034027 0.50533928 0.83221911 0.5852838 -0.7450190
> [13,] 0.53486256 -0.28181457 0.34791505 -0.2865027 -1.4336469
> [14,] -1.63819150 -1.34761986 -0.83803596 2.1201245 2.7646850
> [15,] -0.02103951 0.73904950 -0.29933851 -0.8946959 -0.4814000
>
> $last.step$climb
> [1] -394657.2 523581.9 662476.4 140569.0 -3294770.3
>
1546c1548
< [1] 93
---
> [1] 96
1553,1567c1555,1569
< [1,] -0.85453217 -0.1057018 -0.1812654 -0.02323016 -0.8359448
< [2,] -1.41682423 -0.0258639 -0.9715314 1.45584095 -1.1648272
< [3,] 1.29768885 1.0218122 0.9259131 1.09197328 0.1543355
< [4,] 0.07094413 -0.2515619 -0.3977960 -0.70164401 -1.8288867
< [5,] 0.08897995 0.8081638 0.6483141 -0.69078579 -0.2824447
< [6,] 0.55957260 0.4945839 0.4292885 -0.29128527 -0.3594793
< [7,] -0.12112833 -3.0613194 -0.2368539 -0.70590998 6.3407708
< [8,] -0.21016628 0.3360015 0.0832307 -0.59043506 -1.0297699
< [9,] 1.03419073 0.6608615 0.2883312 0.19622573 -1.2973875
< [10,] -0.42866285 -0.5857924 -0.1174560 -0.39552387 -1.8006609
< [11,] -0.04101902 1.0944414 -0.5081539 -0.86617574 2.0000943
< [12,] 1.14067814 0.5049286 0.8329583 0.58561659 -0.7446032
< [13,] 0.53432699 -0.2815067 0.3477409 -0.28708179 -1.4337770
< [14,] -1.63826537 -1.3468209 -0.8379023 2.11926940 2.7649921
< [15,] -0.02136128 0.7386149 -0.2993616 -0.89404439 -0.4828587
---
> [1,] -0.85399301 -0.10602099 -0.18140766 -0.02364687 -0.8371385
> [2,] -1.41680831 -0.02700922 -0.97193915 1.45664700 -1.1645431
> [3,] 1.29738032 1.02095947 0.92539297 1.09190281 0.1539769
> [4,] 0.07100562 -0.25197861 -0.39807733 -0.70154825 -1.8266607
> [5,] 0.08922699 0.80745668 0.64756678 -0.69055935 -0.2850413
> [6,] 0.55925418 0.49480489 0.42892323 -0.29147726 -0.3608594
> [7,] -0.12039508 -3.06089075 -0.23666324 -0.70622873 6.3420715
> [8,] -0.20969533 0.33555238 0.08322106 -0.59050851 -1.0297117
> [9,] 1.03428932 0.66016070 0.28831450 0.19721031 -1.2971304
> [10,] -0.42828624 -0.58538485 -0.11736408 -0.39582567 -1.8009247
> [11,] -0.04081588 1.09472020 -0.50816401 -0.86667778 2.0006839
> [12,] 1.14045635 0.50528295 0.83226925 0.58550194 -0.7452782
> [13,] 0.53470207 -0.28162570 0.34780933 -0.28674186 -1.4339655
> [14,] -1.63795687 -1.34717561 -0.83791582 2.11940059 2.7641334
> [15,] -0.02125898 0.73877872 -0.29935581 -0.89443186 -0.4821556
1634,1637c1636,1640
< [1] "Component 1: Mean relative difference: 3.910048e-07"
< [2] "Component 2: Mean relative difference: 0.002306378"
< [3] "Component 3: Mean relative difference: 4.947726"
< [4] "Component 4: Mean relative difference: 0.001238096"
---
> [1] "Component 1: Mean relative difference: 1.585932e-07"
> [2] "Component 2: Mean relative difference: 0.0009942645"
> [3] "Component 3: Mean relative difference: 5.267562"
> [4] "Component 4: Mean relative difference: 0.000453646"
> [5] "Component 9: Mean relative difference: 0.2352941"
1639c1642
< [1] "Mean relative difference: 0.001410646"
---
> [1] "Mean relative difference: 0.0006692936"
1673c1676
< [1] 2.862109e-05
---
> [1] 1.160884e-05
1675c1678
< [1] -2.862109e-05
---
> [1] -1.160884e-05
1699c1702
< -0.223755 1.640612 2.110033 -0.167433 -0.001353
---
> -0.223438 1.640494 2.109440 -0.167351 -0.001139
1704,1707c1707,1708
< BFGSR maximization, 96 iterations
< Return code 3: Last step could not find a value above the current.
< Boundary of parameter space?
< Consider switching to a more robust optimisation method temporarily.
---
> BFGSR maximization, 91 iterations
> Return code 2: successive function values within tolerance limit
1712,1716c1713,1717
< (Intercept) -0.223754 0.472530 -0.4735 0.63584
< x1 1.640612 0.211026 7.7744 7.578e-15 ***
< x2 2.110033 0.684756 3.0814 0.00206 **
< logSigmaMu -0.167433 0.271456 -0.6168 0.53737
< logSigmaNu -0.001353 0.132249 -0.0102 0.99184
---
> (Intercept) -0.2234379 0.4725748 -0.4728 0.63635
> x1 1.6404941 0.2110522 7.7729 7.669e-15 ***
> x2 2.1094395 0.6848755 3.0800 0.00207 **
> logSigmaMu -0.1673511 0.2714906 -0.6164 0.53762
> logSigmaNu -0.0011386 0.1322729 -0.0086 0.99313
1731,1735c1732,1736
< (Intercept) -0.223755 0.472530 -0.474 0.63584
< x1 1.640612 0.211026 7.774 7.58e-15 ***
< x2 2.110033 0.684756 3.081 0.00206 **
< logSigmaMu -0.167433 0.271456 -0.617 0.53737
< logSigmaNu -0.001353 0.132249 -0.010 0.99184
---
> (Intercept) -0.223438 0.472575 -0.473 0.63635
> x1 1.640494 0.211052 7.773 7.67e-15 ***
> x2 2.109440 0.684875 3.080 0.00207 **
> logSigmaMu -0.167351 0.271491 -0.616 0.53762
> logSigmaNu -0.001139 0.132273 -0.009 0.99313
1739,1742c1740,1741
< BFGSR maximization, 96 iterations
< Return code 3: Last step could not find a value above the current.
< Boundary of parameter space?
< Consider switching to a more robust optimisation method temporarily.
---
> BFGSR maximization, 91 iterations
> Return code 2: successive function values within tolerance limit
1755c1754
< -0.223754519 1.640612169 2.110032709 -0.167433084 -0.001352975
---
> -0.223437886 1.640494086 2.109439512 -0.167351143 -0.001138553
1759c1758
< -0.002470143 -0.003929821 0.003014093 0.001621301 0.013062926
---
> -0.0023645994 0.0002134735 0.0043525355 -0.0012274752 -0.0003310896
1763,1767c1762,1766
< (Intercept) -13.791389 -4.347855 -7.5293179 -1.1119308 -1.939441
< x1 -4.347855 -25.819847 -2.0578824 4.6523207 4.058770
< x2 -7.529318 -2.057882 -6.2675325 -0.1438251 -1.053692
< logSigmaMu -1.111931 4.652321 -0.1438251 -14.9350118 -3.775829
< logSigmaNu -1.939441 4.058770 -1.0536923 -3.7758286 -58.855166
---
> (Intercept) -13.788369 -4.345893 -7.5273217 -1.1108512 -1.941872
> x1 -4.345893 -25.811539 -2.0571716 4.6503075 4.052490
> x2 -7.527322 -2.057172 -6.2654750 -0.1435365 -1.057070
> logSigmaMu -1.110851 4.650307 -0.1435365 -14.9303962 -3.772496
> logSigmaNu -1.941872 4.052490 -1.0570698 -3.7724962 -58.832591
1770c1769
< [1] 3
---
> [1] 2
1773c1772
< [1] "Last step could not find a value above the current.\nBoundary of parameter space? \nConsider switching to a more robust optimisation method temporarily."
---
> [1] "successive function values within tolerance limit"
1776,1802c1775
< $last.step$theta0
< (Intercept) x1 x2 logSigmaMu logSigmaNu
< -0.223823402 1.640474499 2.110089739 -0.167404058 -0.001008303
<
< $last.step$f0
< [1] -71.19256
< attr(,"gradient")
< [,1] [,2] [,3] [,4] [,5]
< [1,] -0.50845406 0.08826798 0.10314832 -0.39424144 -0.53291567
< [2,] -1.81722673 0.06635980 -1.24764705 1.79897703 -0.96105403
< [3,] 1.78436478 0.48499847 1.76885933 1.73288171 1.89258160
< [4,] 0.15192918 -0.16288928 -0.39622694 -0.73687243 -1.58427989
< [5,] 0.08174866 1.03842143 0.69732243 -0.67798834 -0.44900579
< [6,] 0.33252486 -0.23106257 0.37354684 -0.53970724 -1.57470083
< [7,] -0.17989529 -3.02911987 -0.24836642 -0.62243343 5.48059552
< [8,] 0.01878900 -0.00409553 0.01074609 -0.41766140 -0.58173334
< [9,] 1.11617376 0.66636953 0.29576621 0.06397087 -1.68497461
< [10,] -0.53757421 -0.41980700 -0.20422121 -0.40668365 -1.97460589
< [11,] -0.08281297 1.37916584 -0.64769825 -0.82344452 2.49676121
< [12,] 1.25891443 0.53226157 0.66903705 0.23077340 -1.79369005
< [13,] 0.44681985 -0.16334245 0.28634969 -0.46813776 -1.45072788
< [14,] -1.89281195 -1.28748464 -0.96238559 1.98370894 2.68015548
< [15,] -0.17454173 1.04329511 -0.49513953 -0.72382668 0.02978336
<
< $last.step$climb
< [1] -1183396.6 -2365143.7 979772.8 498659.5 5921415.1
<
---
> NULL
1809c1782
< [1] 96
---
> [1] 91
1816,1830c1789,1803
< [1,] -0.50877172 0.088180240 0.10319648 -0.39412192 -0.53223128
< [2,] -1.81752720 0.066230535 -1.24793686 1.79965502 -0.96124300
< [3,] 1.78485531 0.484057665 1.76959906 1.73402795 1.89470379
< [4,] 0.15168049 -0.163048981 -0.39672294 -0.73707015 -1.58303450
< [5,] 0.08182534 1.038547909 0.69774096 -0.67813507 -0.44806430
< [6,] 0.33224621 -0.232088804 0.37359250 -0.53978763 -1.57343069
< [7,] -0.17989435 -3.031620367 -0.24853374 -0.62260661 5.48663948
< [8,] 0.01879330 -0.004096468 0.01074855 -0.41781613 -0.58157859
< [9,] 1.11653409 0.666373618 0.29586535 0.06408826 -1.68470607
< [10,] -0.53776851 -0.420431896 -0.20427298 -0.40649628 -1.97397318
< [11,] -0.08272167 1.379835806 -0.64794398 -0.82372903 2.49969660
< [12,] 1.25898799 0.532344197 0.66907019 0.23056763 -1.79294496
< [13,] 0.44701322 -0.163636828 0.28648792 -0.46792056 -1.45008317
< [14,] -1.89336816 -1.288442971 -0.96262145 1.98497751 2.68229841
< [15,] -0.17435450 1.043866523 -0.49525497 -0.72401168 0.03101439
---
> [1,] -0.50851468 0.088549089 0.10332418 -0.39424112 -0.5321531
> [2,] -1.81705349 0.066630144 -1.24744468 1.79880183 -0.9613088
> [3,] 1.78438158 0.484622552 1.76921902 1.73324126 1.8938711
> [4,] 0.15178686 -0.162863846 -0.39633296 -0.73697159 -1.5844197
> [5,] 0.08174549 1.038619943 0.69766179 -0.67810229 -0.4478988
> [6,] 0.33238733 -0.231741427 0.37360317 -0.53970858 -1.5740604
> [7,] -0.18005740 -3.029939879 -0.24845697 -0.62247948 5.4823898
> [8,] 0.01878553 -0.004094775 0.01074411 -0.41775131 -0.5816437
> [9,] 1.11613611 0.666458518 0.29576147 0.06379078 -1.6850635
> [10,] -0.53761405 -0.420066528 -0.20419807 -0.40660173 -1.9743628
> [11,] -0.08280126 1.379236916 -0.64772340 -0.82356321 2.4973552
> [12,] 1.25885598 0.532122184 0.66915527 0.23058826 -1.7934726
> [13,] 0.44678737 -0.163413157 0.28637417 -0.46810019 -1.4504984
> [14,] -1.89274932 -1.287262705 -0.96222366 1.98378247 2.6810702
> [15,] -0.17444065 1.043356443 -0.49511091 -0.72391258 0.0298645
Running 'censRegTest.R'
Comparing 'censRegTest.Rout' to 'censRegTest.Rout.save' ...32c32
< -3.603582e-12 -1.106297e-10 -2.496026e-11 -1.194073e-11 -1.446211e-11
---
> -3.607684e-12 -1.108292e-10 -2.501133e-11 -1.195816e-11 -1.449160e-11
34c34
< -1.539830e-11 -3.474145e-12
---
> -1.542333e-11 -3.534235e-12
1443,1458c1443,1458
< (Intercept) age yearsmarried religiousness
< (Intercept) 7.515523736 -0.1196798502 0.089357154 -3.970038e-01
< age -0.119679850 0.0062557406 -0.008052616 5.380018e-04
< yearsmarried 0.089357154 -0.0080526163 0.018095076 -1.006372e-02
< religiousness -0.397003788 0.0005380018 -0.010063723 1.630153e-01
< occupation -0.176564351 -0.0039320119 0.003581751 5.214883e-03
< rating -0.616442292 0.0011114966 0.004771647 -2.571291e-05
< logSigma 0.006968089 -0.0005561255 0.001594861 -4.944751e-03
< occupation rating logSigma
< (Intercept) -0.176564351 -6.164423e-01 0.0069680894
< age -0.003932012 1.111497e-03 -0.0005561255
< yearsmarried 0.003581751 4.771647e-03 0.0015948607
< religiousness 0.005214883 -2.571291e-05 -0.0049447512
< occupation 0.064731952 -6.192755e-03 0.0008925920
< rating -0.006192755 1.663236e-01 -0.0068779111
< logSigma 0.000892592 -6.877911e-03 0.0045021647
---
> (Intercept) age yearsmarried religiousness occupation
> (Intercept) 7.51552374 -0.1196798502 0.089357154 -3.970038e-01 -0.176564351
> age -0.11967985 0.0062557406 -0.008052616 5.380018e-04 -0.003932012
> yearsmarried 0.08935715 -0.0080526163 0.018095076 -1.006372e-02 0.003581751
> religiousness -0.39700379 0.0005380018 -0.010063723 1.630153e-01 0.005214883
> occupation -0.17656435 -0.0039320119 0.003581751 5.214883e-03 0.064731952
> rating -0.61644229 0.0011114966 0.004771647 -2.571292e-05 -0.006192755
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---
> age 4.420984e-04 -5.515509e-04 8.028298e-05 0.0004558606
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> religiousness2 8.028298e-05 -3.160987e-05 1.561540e-01 0.1140302420
> religiousness3 4.558606e-04 -9.913088e-04 1.140302e-01 0.1616845297
> religiousness4 2.361200e-04 -1.608679e-03 1.145186e-01 0.1153763759
17311c17311
< rating 4.398662e-05 4.221269e-04 5.429924e-03 0.0045973945
---
> rating 4.398663e-05 4.221269e-04 5.429924e-03 0.0045973945
17313c17313
< age 0.0002361200 -0.0003204550 4.398662e-05
---
> age 0.0002361200 -0.0003204550 4.398663e-05
17316c17316
< religiousness3 0.1153763758 0.0005195741 4.597395e-03
---
> religiousness3 0.1153763759 0.0005195741 4.597395e-03
17958,17965c17958,17965
< (Intercept) 5169.407432 -78.2461084 47.647323 -1183.5323087
< age -78.246108 4.0748069 -5.106021 0.9763655
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< religiousness2 -1183.532309 0.9763655 -1.192629 1442.7453889
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< rating -413.552118 0.5142735 3.452102 53.0034472
---
> (Intercept) 5169.407439 -78.2461087 47.647323 -1183.5323095
> age -78.246109 4.0748069 -5.106021 0.9763656
> yearsmarried 47.647323 -5.1060209 11.018111 -1.1926291
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> religiousness3 -1258.213484 4.3595727 -9.754152 1053.3794322
> religiousness4 -1090.863840 2.7357786 -16.846835 1068.4167884
> occupation -88.004269 -2.9533429 2.907858 -7.5124915
> rating -413.552119 0.5142735 3.452102 53.0034471
17968c17968
< (Intercept) -1258.213483 -1090.863839 -88.0042690 -413.5521184
---
> (Intercept) -1258.213484 -1090.863840 -88.0042690 -413.5521189
17970,17971c17970,17971
< yearsmarried -9.754152 -16.846835 2.9078583 3.4521020
< religiousness2 1053.379432 1068.416788 -7.5124914 53.0034472
---
> yearsmarried -9.754152 -16.846835 2.9078583 3.4521019
> religiousness2 1053.379432 1068.416788 -7.5124915 53.0034471
17973c17973
< religiousness4 1071.925787 1529.901846 8.0699727 34.7769383
---
> religiousness4 1071.925787 1529.901847 8.0699727 34.7769383
17975c17975
< rating 44.420446 34.776938 -3.9362672 101.7866788
---
> rating 44.420446 34.776938 -3.9362672 101.7866789
17989,17997c17989,17997
< (Intercept) 10.31538093 -0.200651745 0.1686842089 -1.1319277020
< age -0.20065175 0.009401332 -0.0116862348 -0.0126882104
< yearsmarried 0.16868421 -0.011686235 0.0222169680 0.0020910175
< religiousness2 -1.13192770 -0.012688210 0.0020910175 2.3677473943
< religiousness3 -1.67391450 0.009680115 -0.0335847975 1.5816089424
< religiousness4 -1.63520650 0.020356049 -0.0571329531 1.5834255177
< occupation -0.21663046 -0.004766186 0.0071748020 -0.0149992595
< rating -0.70525290 0.001990725 0.0047558307 0.0059794245
< logSigma -0.05205719 0.001000981 -0.0009214505 0.0007548113
---
> (Intercept) 10.31538096 -0.200651746 0.1686842109 -1.1319277039
> age -0.20065175 0.009401332 -0.0116862348 -0.0126882102
> yearsmarried 0.16868421 -0.011686235 0.0222169680 0.0020910172
> religiousness2 -1.13192770 -0.012688210 0.0020910172 2.3677473936
> religiousness3 -1.67391451 0.009680116 -0.0335847979 1.5816089431
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> rating -0.70525290 0.001990725 0.0047558306 0.0059794242
> logSigma -0.05205719 0.001000981 -0.0009214505 0.0007548114
17999,18006c17999,18006
< (Intercept) -1.673914503 -1.635206496 -0.2166304561 -0.7052528967
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< occupation 0.008514560 -0.007919586 0.0698641100 0.0025917525
< rating 0.004272045 -0.027417677 0.0025917525 0.1682841971
---
> (Intercept) -1.673914507 -1.635206499 -0.2166304560 -0.7052528988
> age 0.009680116 0.020356050 -0.0047661857 0.0019907250
> yearsmarried -0.033584798 -0.057132953 0.0071748020 0.0047558306
> religiousness2 1.581608943 1.583425518 -0.0149992597 0.0059794242
> religiousness3 2.344052054 1.676859202 0.0085145596 0.0042720444
> religiousness4 1.676859202 2.490749125 -0.0079195866 -0.0274176771
> occupation 0.008514560 -0.007919587 0.0698641099 0.0025917525
> rating 0.004272044 -0.027417677 0.0025917525 0.1682841974
18009c18009
< (Intercept) -0.0520571905
---
> (Intercept) -0.0520571907
18012c18012
< religiousness2 0.0007548113
---
> religiousness2 0.0007548114
checking for unstated dependencies in vignettes ... OK
checking package vignettes in 'inst/doc' ... OK
checking running R code from vignettes ... OK
checking re-building of vignette PDFs ... OK
checking PDF version of manual ... OK
NOTE: There was 1 note.
See
'd:/Rcompile/CRANpkg/local/2.15/censReg.Rcheck/00check.log'
for details.