- using R version 3.0.1 (2013-05-16)
- using platform: x86_64-w64-mingw32 (64-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 for hidden files and directories ... OK
- checking for portable file names ... OK
- checking whether package 'censReg' can be installed ... OK
- checking installed package size ... OK
- checking package directory ... 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
- 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 ... OK
- checking for unstated dependencies in tests ... OK
- checking tests ... OK
Running 'censRegPanelLargerTest.R'
Comparing 'censRegPanelLargerTest.Rout' to 'censRegPanelLargerTest.Rout.save' ...8c8
< The following object is masked from 'package:base':
---
> The following object(s) are masked from 'package:base':
15c15
< The following object is masked from 'package:base':
---
> The following object(s) are masked from 'package:base':
OK
Running 'censRegPanelTest.R'
Comparing 'censRegPanelTest.Rout' to 'censRegPanelTest.Rout.save' ...8c8
< The following object is masked from 'package:base':
---
> The following object(s) are masked from 'package:base':
15c15
< The following object is masked from 'package:base':
---
> The following object(s) are masked from 'package:base':
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' ...8c8
< The following object is masked from 'package:base':
---
> The following object(s) are masked from 'package:base':
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
> 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
1466c1466
< rating -0.61644229 0.0011114966 0.004771647 -2.571291e-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 -2.571291e-05 -0.040779761
---
> religiousness -2.571292e-05 -0.040779761
1484c1484
< logSigma 2.1098592 0.06709817 31.444363 5.012720e-217
---
> logSigma 2.1098592 0.06709817 31.444362 5.012721e-217
2219c2219
< (Intercept) 4516.829765 -71.9275900 53.7036498 -238.59927680 -106.1151748
---
> (Intercept) 4516.829765 -71.9275900 53.7036498 -238.59927669 -106.1151749
2222,2225c2222,2225
< religiousness -238.599277 0.3233391 -6.0482974 97.97220417 3.1341450
< occupation -106.115175 -2.3631392 2.1526325 3.13414497 38.9039031
< rating -370.481817 0.6680095 2.8677600 -0.01545346 -3.7218460
< logSigma 4.187822 -0.3342314 0.9585113 -2.97179550 0.5364478
---
> 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) -370.48181720 4.1878217
---
> (Intercept) -370.48181717 4.1878218
2231,2233c2231,2233
< occupation -3.72184600 0.5364478
< rating 99.96049039 -4.1336246
< logSigma -4.13362457 2.7058010
---
> occupation -3.72184599 0.5364478
> rating 99.96049042 -4.1336246
> logSigma -4.13362458 2.7058010
2236c2236
< (Intercept) 9.47367041 -0.1866313723 0.1635733332 -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) -0.1570291868 -0.6654380825 -0.0408634493
---
> (Intercept) -0.1570291873 -0.6654380820 -0.0408634490
2246c2246
< yearsmarried 0.0057844633 0.0012457507 -0.0005738356
---
> yearsmarried 0.0057844632 0.0012457507 -0.0005738356
7868c7868
< age 3.506439e-04 -0.0004488950 3.078708e-06 -0.0002287821
---
> age 3.506439e-04 -0.0004488950 3.078707e-06 -0.0002287821
7870c7870
< religiousness 3.078708e-06 -0.0004923141 8.926206e-03 0.0002628942
---
> religiousness 3.078707e-06 -0.0004923141 8.926206e-03 0.0002628942
7952c7952
< -8.781864e-13 -3.512010e-11 -1.310380e-11 -2.662703e-12 -3.610074e-12
---
> -8.792897e-13 -3.518882e-11 -1.314446e-11 -2.668372e-12 -3.620073e-12
7954c7954
< -2.954546e-12 3.379345e-12
---
> -2.962507e-12 3.371414e-12
9375c9375
< -5.257099e-12 -1.623500e-10 -3.690406e-11 -1.735924e-11 -2.120872e-11
---
> -5.253142e-12 -1.622497e-10 -3.687326e-11 -1.734670e-11 -2.119710e-11
9377c9377
< -2.236432e-11 -5.228692e-12
---
> -2.234402e-11 -5.193582e-12
10788,10803c10788,10803
< (Intercept) age yearsmarried religiousness occupation
< (Intercept) 7.51552374 -0.1196798504 0.089357155 -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 -2.571288e-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 -2.571288e-05 -0.0049447513
< occupation -6.192755e-03 0.0008925920
< rating 1.663236e-01 -0.0068779111
< logSigma -6.877911e-03 0.0045021647
---
> (Intercept) age yearsmarried religiousness
> (Intercept) 7.515523718 -0.1196798499 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 -0.397003787 0.0005380018 -0.010063723 1.630153e-01
> occupation -0.176564350 -0.0039320120 0.003581751 5.214883e-03
> rating -0.616442290 0.0011114966 0.004771647 -2.571297e-05
> logSigma 0.006968089 -0.0005561255 0.001594861 -4.944751e-03
> occupation rating logSigma
> (Intercept) -0.176564350 -6.164423e-01 0.0069680894
> age -0.003932012 1.111497e-03 -0.0005561255
> yearsmarried 0.003581751 4.771647e-03 0.0015948607
> religiousness 0.005214883 -2.571297e-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
10806c10806
< (Intercept) 7.51552374 -0.1196798504 0.089357155 -3.970038e-01 -0.176564351
---
> (Intercept) 7.51552372 -0.1196798499 0.089357154 -3.970038e-01 -0.176564350
10810,10812c10810,10812
< occupation -0.17656435 -0.0039320119 0.003581751 5.214883e-03 0.064731952
< rating -0.61644229 0.0011114966 0.004771647 -2.571288e-05 -0.006192755
< sigma 0.05746640 -0.0045864114 0.013152944 -4.077976e-02 0.007361278
---
> occupation -0.17656435 -0.0039320120 0.003581751 5.214883e-03 0.064731952
> rating -0.61644229 0.0011114966 0.004771647 -2.571297e-05 -0.006192755
> sigma 0.05746639 -0.0045864114 0.013152944 -4.077976e-02 0.007361278
10814c10814
< (Intercept) -6.164423e-01 0.057466395
---
> (Intercept) -6.164423e-01 0.057466393
10817c10817
< religiousness -2.571288e-05 -0.040779761
---
> religiousness -2.571297e-05 -0.040779761
10819c10819
< rating 1.663236e-01 -0.056722686
---
> rating 1.663236e-01 -0.056722685
10844c10844
< 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
10846c10846
< 1.539830e-11 -3.474145e-12
---
> 1.542333e-11 -3.534235e-12
12257,12272c12257,12272
< (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
> 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
12280c12280
< rating -0.61644229 0.0011114966 0.004771647 -2.571291e-05 -0.006192755
---
> rating -0.61644229 0.0011114966 0.004771647 -2.571292e-05 -0.006192755
12283c12283
< (Intercept) -6.164423e-01 -0.057466393
---
> (Intercept) -6.164423e-01 -0.057466394
12286c12286
< religiousness -2.571291e-05 0.040779761
---
> religiousness -2.571292e-05 0.040779761
12916c12916
< 5.257099e-12 1.623500e-10 3.690406e-11 1.735924e-11 2.120872e-11
---
> 5.253142e-12 1.622497e-10 3.687326e-11 1.734670e-11 2.119710e-11
12918c12918
< 2.236432e-11 -5.228692e-12
---
> 2.234402e-11 -5.193582e-12
14330,14345c14330,14345
< (Intercept) age yearsmarried religiousness occupation
< (Intercept) 7.51552374 -0.1196798504 0.089357155 -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 -2.571288e-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 -2.571288e-05 0.0049447513
< occupation -6.192755e-03 -0.0008925920
< rating 1.663236e-01 0.0068779111
< logSigma 6.877911e-03 0.0045021647
---
> (Intercept) age yearsmarried religiousness
> (Intercept) 7.515523718 -0.1196798499 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 -0.397003787 0.0005380018 -0.010063723 1.630153e-01
> occupation -0.176564350 -0.0039320120 0.003581751 5.214883e-03
> rating -0.616442290 0.0011114966 0.004771647 -2.571297e-05
> logSigma -0.006968089 0.0005561255 -0.001594861 4.944751e-03
> occupation rating logSigma
> (Intercept) -0.176564350 -6.164423e-01 -0.0069680894
> age -0.003932012 1.111497e-03 0.0005561255
> yearsmarried 0.003581751 4.771647e-03 -0.0015948607
> religiousness 0.005214883 -2.571297e-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
14348c14348
< (Intercept) 7.51552374 -0.1196798504 0.089357155 -3.970038e-01 -0.176564351
---
> (Intercept) 7.51552372 -0.1196798499 0.089357154 -3.970038e-01 -0.176564350
14352,14354c14352,14354
< occupation -0.17656435 -0.0039320119 0.003581751 5.214883e-03 0.064731952
< rating -0.61644229 0.0011114966 0.004771647 -2.571288e-05 -0.006192755
< sigma -0.05746640 0.0045864114 -0.013152944 4.077976e-02 -0.007361278
---
> occupation -0.17656435 -0.0039320120 0.003581751 5.214883e-03 0.064731952
> rating -0.61644229 0.0011114966 0.004771647 -2.571297e-05 -0.006192755
> sigma -0.05746639 0.0045864114 -0.013152944 4.077976e-02 -0.007361278
14356c14356
< (Intercept) -6.164423e-01 -0.057466395
---
> (Intercept) -6.164423e-01 -0.057466393
14359c14359
< religiousness -2.571288e-05 0.040779761
---
> religiousness -2.571297e-05 0.040779761
14361c14361
< rating 1.663236e-01 0.056722686
---
> rating 1.663236e-01 0.056722685
14387c14387
< -5.187734e-09 -1.610047e-07 -3.530184e-08 -1.711228e-08 -2.109469e-08
---
> -5.187493e-09 -1.609964e-07 -3.529873e-08 -1.711167e-08 -2.109355e-08
14389c14389
< -2.230474e-08 -1.627109e-08
---
> -2.230378e-08 -1.627022e-08
15715c15715
< age 9.178407e-05 -1.167525e-04 4.328470e-07 -5.857955e-05
---
> age 9.178407e-05 -1.167525e-04 4.328472e-07 -5.857955e-05
15717c15717
< religiousness 4.328470e-07 -1.248547e-04 2.331823e-03 8.492085e-05
---
> religiousness 4.328472e-07 -1.248547e-04 2.331823e-03 8.492085e-05
15820c15820
< (Intercept) 7.86160194 -0.128974352 0.122169587 -0.4813636176 -0.1546479514
---
> (Intercept) 7.86160195 -0.128974352 0.122169587 -0.4813636186 -0.1546479516
15823c15823
< religiousness -0.48136362 0.002864664 -0.016722829 0.1801125738 0.0009241893
---
> religiousness -0.48136362 0.002864664 -0.016722829 0.1801125739 0.0009241893
15825c15825
< rating -0.74744062 0.004470860 -0.004946603 0.0262982122 -0.0107741174
---
> rating -0.74744062 0.004470860 -0.004946603 0.0262982123 -0.0107741174
15828c15828
< (Intercept) -0.747440619 0.064544208
---
> (Intercept) -0.747440620 0.064544208
15837c15837
< (Intercept) 7.8616019 -0.128974352 0.122169587 -0.4813636176 -0.1546479514
---
> (Intercept) 7.8616019 -0.128974352 0.122169587 -0.4813636186 -0.1546479516
15840c15840
< religiousness -0.4813636 0.002864664 -0.016722829 0.1801125738 0.0009241893
---
> religiousness -0.4813636 0.002864664 -0.016722829 0.1801125739 0.0009241893
15842c15842
< rating -0.7474406 0.004470860 -0.004946603 0.0262982122 -0.0107741174
---
> rating -0.7474406 0.004470860 -0.004946603 0.0262982123 -0.0107741174
15845c15845
< (Intercept) -0.747440619 0.51268881
---
> (Intercept) -0.747440620 0.51268881
15958c15958
< (Intercept) 4724.82277 -77.513586 73.423922 -289.2995342 -92.9434188
---
> (Intercept) 4724.82277 -77.513586 73.423922 -289.2995348 -92.9434189
15963c15963
< rating -449.21181 2.686987 -2.972908 15.8052255 -6.4752445
---
> rating -449.21181 2.686987 -2.972908 15.8052256 -6.4752445
15966c15966
< (Intercept) -449.211812 38.791069
---
> (Intercept) -449.211813 38.791069
15975c15975
< (Intercept) 9.05573625 -0.1737388203 0.182795536 -0.543136908 -0.108586344
---
> (Intercept) 9.05573627 -0.1737388202 0.182795536 -0.543136910 -0.108586344
15983c15983
< (Intercept) -0.789575668 0.0361802840
---
> (Intercept) -0.789575671 0.0361802840
16036c16036
< -2.016989e-13 -5.825465e-12 -1.227934e-12 -5.818956e-14 -3.411941e-14
---
> -1.996051e-13 -5.740394e-12 -1.205293e-12 -5.731526e-14 -3.386093e-14
16038c16038
< -1.047409e-13 -7.743008e-13 -8.909158e-13 -2.180478e-13
---
> -1.038874e-13 -7.715877e-13 -8.898871e-13 -2.080766e-13
17264,17269c17264,17269
< (Intercept) 9.735230568 -0.1473561363 0.089731305 -2.228874404
< age -0.147356136 0.0076738360 -0.009615859 0.001838730
< yearsmarried 0.089731305 -0.0096158586 0.020749739 -0.002246006
< religiousness2 -2.228874404 0.0018387297 -0.002246006 2.717034631
< religiousness3 -2.369516917 0.0082101180 -0.018369401 1.983765409
< religiousness4 -2.054357513 0.0051521254 -0.031726619 2.012084347
---
> (Intercept) 9.735230583 -0.1473561368 0.089731306 -2.228874406
> age -0.147356137 0.0076738360 -0.009615859 0.001838730
> yearsmarried 0.089731306 -0.0096158586 0.020749739 -0.002246006
> religiousness2 -2.228874406 0.0018387299 -0.002246006 2.717034631
> religiousness3 -2.369516919 0.0082101181 -0.018369401 1.983765409
> religiousness4 -2.054357514 0.0051521255 -0.031726619 2.012084347
17271c17271
< rating -0.778817549 0.0009685000 0.006501134 0.099818168
---
> rating -0.778817550 0.0009685000 0.006501134 0.099818168
17274,17275c17274,17275
< (Intercept) -2.369516917 -2.054357513 -0.165733087 -0.778817549
< age 0.008210118 0.005152125 -0.005561851 0.000968500
---
> (Intercept) -2.369516919 -2.054357514 -0.165733087 -0.778817550
> age 0.008210118 0.005152126 -0.005561851 0.000968500
17278,17279c17278,17279
< religiousness3 2.806615755 2.018692631 0.008755971 0.083654323
< religiousness4 2.018692631 2.881171086 0.015197689 0.065493293
---
> religiousness3 2.806615756 2.018692632 0.008755971 0.083654323
> religiousness4 2.018692632 2.881171086 0.015197689 0.065493292
17281c17281
< rating 0.083654323 0.065493293 -0.007412933 0.191688661
---
> rating 0.083654323 0.065493292 -0.007412933 0.191688661
17288c17288
< religiousness3 -0.0101042129
---
> religiousness3 -0.0101042130
17305,17309c17305,17309
< age 4.420984e-04 -5.515509e-04 8.028297e-05 0.0004558606
< yearsmarried -5.515509e-04 1.184479e-03 -3.160985e-05 -0.0009913088
< religiousness2 8.028297e-05 -3.160985e-05 1.561540e-01 0.1140302420
< religiousness3 4.558606e-04 -9.913088e-04 1.140302e-01 0.1616845296
< religiousness4 2.361200e-04 -1.608679e-03 1.145186e-01 0.1153763758
---
> age 4.420984e-04 -5.515509e-04 8.028298e-05 0.0004558606
> yearsmarried -5.515509e-04 1.184479e-03 -3.160987e-05 -0.0009913088
> 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
< yearsmarried 47.647323 -5.1060209 11.018111 -1.1926290
< religiousness2 -1183.532309 0.9763655 -1.192629 1442.7453889
< religiousness3 -1258.213483 4.3595726 -9.754152 1053.3794320
< religiousness4 -1090.863839 2.7357786 -16.846835 1068.4167883
< occupation -88.004269 -2.9533429 2.907858 -7.5124914
< 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
> religiousness2 -1183.532309 0.9763656 -1.192629 1442.7453888
> 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
> religiousness4 -1.63520650 0.020356050 -0.0571329534 1.5834255180
> occupation -0.21663046 -0.004766186 0.0071748020 -0.0149992597
> 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
< age 0.009680115 0.020356049 -0.0047661857 0.0019907250
< yearsmarried -0.033584798 -0.057132953 0.0071748020 0.0047558307
< religiousness2 1.581608942 1.583425518 -0.0149992595 0.0059794245
< religiousness3 2.344052052 1.676859201 0.0085145598 0.0042720445
< religiousness4 1.676859201 2.490749124 -0.0079195864 -0.0274176768
< 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/3.0/censReg.Rcheck/00check.log'
for details.