- using R version 2.15.0 (2012-03-30)
- using platform: i686-pc-linux-gnu (32-bit)
- using session charset: UTF-8
- checking for file ‘censReg/DESCRIPTION’ ... OK
- this is package ‘censReg’ version ‘0.5-10’
- 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 executable files ... 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 for sufficient/correct file permissions ... OK
- checking DESCRIPTION meta-information ... OK
- checking top-level 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 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 ... [7s/7s] OK
- checking for unstated dependencies in tests ... OK
- checking tests ... [86s/86s] OK
Running ‘censRegPanelLargerTest.R’ [4s/4s]
Comparing ‘censRegPanelLargerTest.Rout’ to ‘censRegPanelLargerTest.Rout.save’ ... OK
Running ‘censRegPanelTest.R’ [54s/54s]
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
170c170
< 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
604c604
< -0.37141 1.68080 2.24851 -0.12861 -0.01234
---
> -0.36750 1.67993 2.24379 -0.12947 -0.01241
609c609
< BFGSR maximization, 73 iterations
---
> BFGSR maximization, 78 iterations
611c611
< Log-Likelihood: -73.19891
---
> Log-Likelihood: -73.19883
615,619c615,619
< (Intercept) -0.371406 0.475217 -0.7816 0.4344786
< x1 1.680802 0.209332 8.0294 9.797e-16 ***
< x2 2.248513 0.674264 3.3348 0.0008537 ***
< logSigmaMu -0.128612 0.257896 -0.4987 0.6179929
< logSigmaNu -0.012338 0.129711 -0.0951 0.9242211
---
> (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
634,638c634,638
< (Intercept) -0.37141 0.47522 -0.782 0.434479
< x1 1.68080 0.20933 8.029 9.8e-16 ***
< x2 2.24851 0.67426 3.335 0.000854 ***
< logSigmaMu -0.12861 0.25790 -0.499 0.617993
< logSigmaNu -0.01234 0.12971 -0.095 0.924221
---
> (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
642c642
< BFGSR maximization, 73 iterations
---
> BFGSR maximization, 78 iterations
644c644
< Log-likelihood: -73.19891 on 5 Df
---
> Log-likelihood: -73.19883 on 5 Df
648c648
< [1] -73.19891
---
> [1] -73.19883
652c652
< -0.37140632 1.68080158 2.24851284 -0.12861185 -0.01233783
---
> -0.36750163 1.67992931 2.24379444 -0.12947348 -0.01240886
656c656
< 0.0134276133 -0.0084326366 -0.0096551367 -0.0050120034 -0.0001392217
---
> 0.0014212306 0.0034992596 -0.0064419525 0.0003782988 0.0003341343
660,664c660,664
< (Intercept) -13.295049 -4.093468 -7.2965238 -2.1487248 -1.2831785
< x1 -4.093468 -26.060026 -1.9873895 4.4795370 4.7769733
< x2 -7.296524 -1.987389 -6.2305469 -0.6403042 -0.4413911
< logSigmaMu -2.148725 4.479537 -0.6403042 -16.6984926 -3.7118025
< logSigmaNu -1.283178 4.776973 -0.4413911 -3.7118025 -61.0477057
---
> (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
680c680
< [1] 73
---
> [1] 78
687,701c687,701
< [1,] -0.85142901 0.22334521 -0.07356518 -0.1448644 -0.9699757
< [2,] -1.70137846 0.04650253 -1.18981269 1.6805768 -1.0130954
< [3,] 1.74874979 0.33113618 1.72396204 1.8349129 1.7937428
< [4,] 0.15545942 -0.20364182 -0.43385174 -0.6884490 -1.4272739
< [5,] 0.13020549 0.98216154 0.68716850 -0.6768621 -0.5628272
< [6,] 0.32975845 -0.30754433 0.38381309 -0.4916412 -1.5823704
< [7,] -0.07902943 -3.18691257 -0.23668026 -0.6776534 6.0365491
< [8,] -0.26467894 0.37727608 0.05604794 -0.5395759 -1.1078212
< [9,] 1.14863022 0.59256562 0.30319406 0.1351451 -1.6152072
< [10,] -0.43257440 -0.40482883 -0.15148264 -0.4703892 -1.9364511
< [11,] -0.02742022 1.45030694 -0.64451583 -0.9192646 2.7426038
< [12,] 1.20909962 0.53805360 0.61052816 0.2041194 -1.7331511
< [13,] 0.53747881 -0.22597337 0.33164902 -0.3672467 -1.4082058
< [14,] -1.81321004 -1.30783581 -0.91931378 1.9580545 2.5753979
< [15,] -0.07623368 1.08695641 -0.45679583 -0.8418740 0.2079462
---
> [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
804c804
< 4.63423 1.68000 2.24081 -0.12956 -0.01241
---
> 4.62970 1.67974 2.24826 -0.12967 -0.01247
809c809
< BFGSR maximization, 76 iterations
---
> BFGSR maximization, 75 iterations
811c811
< Log-Likelihood: -73.19882
---
> Log-Likelihood: -73.19889
815,819c815,819
< (Intercept) 4.634230 0.474463 9.7673 < 2.2e-16 ***
< x1 1.680001 0.209222 8.0298 9.767e-16 ***
< x2 2.240806 0.673890 3.3252 0.0008836 ***
< logSigmaMu -0.129563 0.258072 -0.5020 0.6156397
< logSigmaNu -0.012414 0.129689 -0.0957 0.9237407
---
> (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
834,838c834,838
< (Intercept) 4.63423 0.47446 9.767 < 2e-16 ***
< x1 1.68000 0.20922 8.030 9.77e-16 ***
< x2 2.24081 0.67389 3.325 0.000884 ***
< logSigmaMu -0.12956 0.25807 -0.502 0.615640
< logSigmaNu -0.01241 0.12969 -0.096 0.923741
---
> (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
842c842
< BFGSR maximization, 76 iterations
---
> BFGSR maximization, 75 iterations
844c844
< Log-likelihood: -73.19882 on 5 Df
---
> Log-likelihood: -73.19889 on 5 Df
848c848
< 4.63422982 1.68000097 2.24080583 -0.12956254 -0.01241424
---
> 4.62970160 1.67973837 2.24826176 -0.12967269 -0.01246575
851c851
< 4.6342298 1.6800010 2.2408058 0.8784796 0.9876625
---
> 4.6297016 1.6797384 2.2482618 0.8783829 0.9876116
854,858c854,858
< (Intercept) 0.22511525 -0.020572803 -0.254608285 -0.023830653 -0.002976750
< x1 -0.02057280 0.043773849 0.008565852 0.013404800 0.002969615
< x2 -0.25460829 0.008565852 0.454127596 0.017184909 0.001512332
< logSigmaMu -0.02383065 0.013404800 0.017184909 0.066601350 -0.002639282
< logSigmaNu -0.00297675 0.002969615 0.001512332 -0.002639282 0.016819334
---
> (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
861,865c861,865
< (Intercept) 0.225115246 -0.020572803 -0.254608285 -0.02093474 -0.002940024
< x1 -0.020572803 0.043773849 0.008565852 0.01177584 0.002932977
< x2 -0.254608285 0.008565852 0.454127596 0.01509659 0.001493674
< sigmaMu -0.020934743 0.011775844 0.015096593 0.05139803 -0.002289950
< sigmaNu -0.002940024 0.002932977 0.001493674 -0.00228995 0.016406877
---
> (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
867c867
< 'log Lik.' -73.19882 (df=5)
---
> 'log Lik.' -73.19889 (df=5)
869c869
< [1] -40.0000 156.3976
---
> [1] -40.0000 156.3978
872c872
< [1] -73.19882
---
> [1] -73.19889
876c876
< 4.63422982 1.68000097 2.24080583 -0.12956254 -0.01241424
---
> 4.62970160 1.67973837 2.24826176 -0.12967269 -0.01246575
880c880
< 9.710675e-05 6.075479e-05 -5.410895e-04 4.142581e-04 4.857628e-04
---
> 0.007307875 0.009883823 -0.013334396 0.006186400 0.005241257
884,888c884,888
< (Intercept) -13.322182 -4.096697 -7.3077094 -2.1085382 -1.3082877
< x1 -4.096697 -26.077007 -1.9905345 4.4849709 4.7618573
< x2 -7.307709 -1.990535 -6.2363645 -0.6239782 -0.4790617
< logSigmaMu -2.108538 4.484971 -0.6239782 -16.6583847 -3.7229616
< logSigmaNu -1.308288 4.761857 -0.4790617 -3.7229616 -61.0688126
---
> (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
904c904
< [1] 76
---
> [1] 75
911,925c911,925
< [1,] -0.85309041 0.22549910 -0.07265700 -0.1440061 -0.9611177
< [2,] -1.70318091 0.04830131 -1.18997775 1.6809442 -1.0132501
< [3,] 1.75089515 0.33371458 1.72751905 1.8354269 1.8041430
< [4,] 0.15577795 -0.20242866 -0.43229839 -0.6891201 -1.4348300
< [5,] 0.12951097 0.98429819 0.68936822 -0.6770089 -0.5546425
< [6,] 0.33036676 -0.30910763 0.38468293 -0.4921434 -1.5794439
< [7,] -0.08205917 -3.18528421 -0.23723722 -0.6766342 6.0273974
< [8,] -0.26683050 0.37885860 0.05564785 -0.5385807 -1.1091143
< [9,] 1.14828962 0.59397805 0.30329256 0.1330659 -1.6171979
< [10,] -0.43505135 -0.40637167 -0.15247098 -0.4687700 -1.9365103
< [11,] -0.02837984 1.44806412 -0.64411668 -0.9172720 2.7353201
< [12,] 1.21050037 0.53678276 0.61322483 0.2055762 -1.7350553
< [13,] 0.53594887 -0.22523124 0.33117350 -0.3691106 -1.4082760
< [14,] -1.81468132 -1.30624012 -0.91957860 1.9574425 2.5815109
< [15,] -0.07791910 1.08522757 -0.45711341 -0.8393952 0.2015524
---
> [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
991c991
< 0.37141 -1.68080 -2.24851 -0.12861 -0.01234
---
> 0.36750 -1.67993 -2.24379 -0.12947 -0.01241
996c996
< BFGSR maximization, 73 iterations
---
> BFGSR maximization, 78 iterations
998c998
< Log-Likelihood: -73.19891
---
> Log-Likelihood: -73.19883
1002,1006c1002,1006
< (Intercept) 0.371406 0.475217 0.7816 0.4344786
< x1 -1.680802 0.209332 -8.0294 9.797e-16 ***
< x2 -2.248513 0.674264 -3.3348 0.0008537 ***
< logSigmaMu -0.128612 0.257896 -0.4987 0.6179929
< logSigmaNu -0.012338 0.129711 -0.0951 0.9242211
---
> (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
1022,1026c1022,1026
< (Intercept) 0.37141 0.47522 0.782 0.434479
< x1 -1.68080 0.20933 -8.029 9.8e-16 ***
< x2 -2.24851 0.67426 -3.335 0.000854 ***
< logSigmaMu -0.12861 0.25790 -0.499 0.617993
< logSigmaNu -0.01234 0.12971 -0.095 0.924221
---
> (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
1030c1030
< BFGSR maximization, 73 iterations
---
> BFGSR maximization, 78 iterations
1032c1032
< Log-likelihood: -73.19891 on 5 Df
---
> Log-likelihood: -73.19883 on 5 Df
1036c1036
< 0.37140632 -1.68080158 -2.24851284 -0.12861185 -0.01233783
---
> 0.36750163 -1.67992931 -2.24379444 -0.12947348 -0.01240886
1039c1039
< 0.3714063 -1.6808016 -2.2485128 0.8793152 0.9877380
---
> 0.3675016 -1.6799293 -2.2437944 0.8785579 0.9876678
1042,1046c1042,1046
< (Intercept) 0.225831300 -0.020726693 -0.255158255 0.024156471 0.003055055
< x1 -0.020726693 0.043819722 0.008704260 -0.013424779 -0.002985363
< x2 -0.255158255 0.008704260 0.454631766 -0.017357027 -0.001701904
< logSigmaMu 0.024156471 -0.013424779 -0.017357027 0.066510246 -0.002611192
< logSigmaNu 0.003055055 -0.002985363 -0.001701904 -0.002611192 0.016824911
---
> (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
1049,1053c1049,1053
< (Intercept) 0.225831300 -0.020726693 -0.255158255 0.021241152 0.003017594
< x1 -0.020726693 0.043819722 0.008704260 -0.011804612 -0.002948757
< x2 -0.255158255 0.008704260 0.454631766 -0.015262298 -0.001681035
< sigmaMu 0.021241152 -0.011804612 -0.015262298 0.051425406 -0.002267906
< sigmaNu 0.003017594 -0.002948757 -0.001681035 -0.002267906 0.016414825
---
> (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
1055c1055
< 'log Lik.' -73.19891 (df=5)
---
> 'log Lik.' -73.19883 (df=5)
1057c1057
< [1] -40.0000 156.3978
---
> [1] -40.0000 156.3977
1060c1060
< [1] -73.19891
---
> [1] -73.19883
1064c1064
< 0.37140632 -1.68080158 -2.24851284 -0.12861185 -0.01233783
---
> 0.36750163 -1.67992931 -2.24379444 -0.12947348 -0.01240886
1068c1068
< -0.0134276133 0.0084326366 0.0096551367 -0.0050120034 -0.0001392215
---
> -0.0014212306 -0.0034992596 0.0064419525 0.0003782988 0.0003341343
1072,1076c1072,1076
< (Intercept) -13.295049 -4.093468 -7.2965238 2.1487248 1.2831785
< x1 -4.093468 -26.060026 -1.9873895 -4.4795370 -4.7769733
< x2 -7.296524 -1.987389 -6.2305469 0.6403042 0.4413911
< logSigmaMu 2.148725 -4.479537 0.6403042 -16.6984926 -3.7118025
< logSigmaNu 1.283178 -4.776973 0.4413911 -3.7118025 -61.0477057
---
> (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
1092c1092
< [1] 73
---
> [1] 78
1099,1113c1099,1113
< [1,] 0.85142901 -0.22334521 0.07356518 -0.1448644 -0.9699757
< [2,] 1.70137846 -0.04650253 1.18981269 1.6805768 -1.0130954
< [3,] -1.74874979 -0.33113618 -1.72396204 1.8349129 1.7937428
< [4,] -0.15545942 0.20364182 0.43385174 -0.6884490 -1.4272739
< [5,] -0.13020549 -0.98216154 -0.68716850 -0.6768621 -0.5628272
< [6,] -0.32975845 0.30754433 -0.38381309 -0.4916412 -1.5823704
< [7,] 0.07902943 3.18691257 0.23668026 -0.6776534 6.0365491
< [8,] 0.26467894 -0.37727608 -0.05604794 -0.5395759 -1.1078212
< [9,] -1.14863022 -0.59256562 -0.30319406 0.1351451 -1.6152072
< [10,] 0.43257440 0.40482883 0.15148264 -0.4703892 -1.9364511
< [11,] 0.02742022 -1.45030694 0.64451583 -0.9192646 2.7426038
< [12,] -1.20909962 -0.53805360 -0.61052816 0.2041194 -1.7331511
< [13,] -0.53747881 0.22597337 -0.33164902 -0.3672467 -1.4082058
< [14,] 1.81321004 1.30783581 0.91931378 1.9580545 2.5753979
< [15,] 0.07623368 -1.08695641 0.45679583 -0.8418740 0.2079462
---
> [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
1180c1180
< -4.63370 -1.68004 -2.24160 -0.12950 -0.01238
---
> -4.63391 -1.68002 -2.24127 -0.12953 -0.01241
1185c1185
< BFGSR maximization, 79 iterations
---
> BFGSR maximization, 73 iterations
1191,1195c1191,1195
< (Intercept) -4.633699 0.474527 -9.7649 < 2.2e-16 ***
< x1 -1.680040 0.209234 -8.0295 9.788e-16 ***
< x2 -2.241605 0.673935 -3.3261 0.0008806 ***
< logSigmaMu -0.129503 0.258067 -0.5018 0.6157954
< logSigmaNu -0.012382 0.129694 -0.0955 0.9239405
---
> (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
1211,1215c1211,1215
< (Intercept) -4.63370 0.47453 -9.765 < 2e-16 ***
< x1 -1.68004 0.20923 -8.029 9.79e-16 ***
< x2 -2.24160 0.67394 -3.326 0.000881 ***
< logSigmaMu -0.12950 0.25807 -0.502 0.615795
< logSigmaNu -0.01238 0.12969 -0.095 0.923940
---
> (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
1219c1219
< BFGSR maximization, 79 iterations
---
> BFGSR maximization, 73 iterations
1225c1225
< -4.63369916 -1.68004046 -2.24160485 -0.12950273 -0.01238206
---
> -4.63391165 -1.68002232 -2.24127447 -0.12952582 -0.01241152
1228c1228
< -4.6336992 -1.6800405 -2.2416049 0.8785322 0.9876943
---
> -4.6339117 -1.6800223 -2.2412745 0.8785119 0.9876652
1231,1235c1231,1235
< (Intercept) 0.225175767 -0.020585579 -0.254661894 0.023857496 0.002985853
< x1 -0.020585579 0.043778841 0.008578566 -0.013407234 -0.002970234
< x2 -0.254661894 0.008578566 0.454188836 -0.017202119 -0.001532904
< logSigmaMu 0.023857496 -0.013407234 -0.017202119 0.066598577 -0.002637668
< logSigmaNu 0.002985853 -0.002970234 -0.001532904 -0.002637668 0.016820542
---
> (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
1238,1242c1238,1242
< (Intercept) 0.22517577 -0.020585579 -0.254661894 0.02095958 0.002949110
< x1 -0.02058558 0.043778841 0.008578566 -0.01177869 -0.002933683
< x2 -0.25466189 0.008578566 0.454188836 -0.01511262 -0.001514041
< sigmaMu 0.02095958 -0.011778686 -0.015112616 0.05140204 -0.002288760
< sigmaNu 0.00294911 -0.002933683 -0.001514041 -0.00228876 0.016409111
---
> (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
1253c1253
< -4.63369916 -1.68004046 -2.24160485 -0.12950273 -0.01238206
---
> -4.63391165 -1.68002232 -2.24127447 -0.12952582 -0.01241152
1257c1257
< -9.974205e-04 -3.610913e-05 1.777469e-03 9.582038e-05 -1.201800e-03
---
> -7.425390e-04 -5.237316e-05 1.205358e-03 2.666987e-04 4.763349e-04
1261,1265c1261,1265
< (Intercept) -13.320013 -4.096286 -7.3067326 2.1114070 1.3063395
< x1 -4.096286 -26.074676 -1.9901985 -4.4844481 -4.7618116
< x2 -7.306733 -1.990199 -6.2357180 0.6249904 0.4753253
< logSigmaMu 2.111407 -4.484448 0.6249904 -16.6604750 -3.7222916
< logSigmaNu 1.306340 -4.761812 0.4753253 -3.7222916 -61.0642505
---
> (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
1281c1281
< [1] 79
---
> [1] 73
1288,1302c1288,1302
< [1,] 0.85293842 -0.22525183 0.07276444 -0.1440910 -0.9619846
< [2,] 1.70311407 -0.04810088 1.19003916 1.6810384 -1.0131642
< [3,] -1.75070975 -0.33365434 -1.72714006 1.8352632 1.8029376
< [4,] -0.15576407 0.20252215 0.43241736 -0.6890980 -1.4341082
< [5,] -0.12955086 -0.98410360 -0.68910392 -0.6769879 -0.5555495
< [6,] -0.33033275 0.30873730 -0.38457346 -0.4921324 -1.5798333
< [7,] 0.08179244 3.18521367 0.23717386 -0.6766917 6.0276209
< [8,] 0.26667932 -0.37873493 -0.05565929 -0.5386287 -1.1090560
< [9,] -1.14832405 -0.59389849 -0.30328275 0.1332660 -1.6170140
< [10,] 0.43487273 0.40617959 0.15241608 -0.4689006 -1.9365780
< [11,] 0.02830943 -1.44825958 0.64415848 -0.9173827 2.7358536
< [12,] -1.21041941 -0.53694603 -0.61297769 0.2054916 -1.7349170
< [13,] -0.53602503 0.22523692 -0.33117406 -0.3690194 -1.4083401
< [14,] 1.81459682 1.30640743 0.91960345 1.9575050 2.5808420
< [15,] 0.07782525 -1.08538348 0.45711587 -0.8395361 0.2020889
---
> [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
1369c1369
< -0.232443 1.892762 1.967776 0.001281 0.052616
---
> -0.233782 1.893280 1.969602 0.001543 0.052867
1374c1374
< BFGSR maximization, 97 iterations
---
> BFGSR maximization, 96 iterations
1378c1378
< Log-Likelihood: -64.31274
---
> Log-Likelihood: -64.31273
1382,1386c1382,1386
< (Intercept) -0.2324426 0.5480441 -0.4241 0.67147
< x1 1.8927620 0.3009619 6.2890 3.194e-10 ***
< x2 1.9677762 0.8184578 2.4042 0.01621 *
< logSigmaMu 0.0012808 0.2778605 0.0046 0.99632
< logSigmaNu 0.0526156 0.1629775 0.3228 0.74682
---
> (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
1402,1406c1402,1406
< (Intercept) -0.232443 0.548044 -0.424 0.6715
< x1 1.892762 0.300962 6.289 3.19e-10 ***
< x2 1.967776 0.818458 2.404 0.0162 *
< logSigmaMu 0.001281 0.277861 0.005 0.9963
< logSigmaNu 0.052616 0.162978 0.323 0.7468
---
> (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
1410c1410
< BFGSR maximization, 97 iterations
---
> BFGSR maximization, 96 iterations
1414c1414
< Log-likelihood: -64.31274 on 5 Df
---
> Log-likelihood: -64.31273 on 5 Df
1428,1432c1428,1432
< (Intercept) -0.2324 0.5480 -0.424 0.67147
< x1 1.8928 0.3010 6.289 3.19e-10 ***
< x2 1.9678 0.8185 2.404 0.01621 *
< sigmaMu 1.0013 0.2782 3.599 0.00032 ***
< sigmaNu 1.0540 0.1718 6.136 8.47e-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 ***
1436c1436
< BFGSR maximization, 97 iterations
---
> BFGSR maximization, 96 iterations
1440c1440
< Log-likelihood: -64.31274 on 5 Df
---
> Log-likelihood: -64.31273 on 5 Df
1444c1444
< -0.232442600 1.892762037 1.967776208 0.001280809 0.052615611
---
> -0.23378216 1.89328013 1.96960246 0.00154326 0.05286747
1447c1447
< -0.2324426 1.8927620 1.9677762 1.0012816 1.0540244
---
> -0.2337822 1.8932801 1.9696025 1.0015445 1.0542899
1450,1454c1450,1454
< (Intercept) 0.30035238 -0.03130381 -0.36368848 -0.015867966 -0.016333928
< x1 -0.03130381 0.09057804 0.03168769 0.035163723 0.015900719
< x2 -0.36368848 0.03168769 0.66987318 0.018551036 0.024419467
< logSigmaMu -0.01586797 0.03516372 0.01855104 0.077206479 0.004322928
< logSigmaNu -0.01633393 0.01590072 0.02441947 0.004322928 0.026561666
---
> (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
1457,1461c1457,1461
< (Intercept) 0.30035238 -0.03130381 -0.36368848 -0.015888303 -0.017216359
< x1 -0.03130381 0.09057804 0.03168769 0.035208790 0.016759746
< x2 -0.36368848 0.03168769 0.66987318 0.018574812 0.025738715
< sigmaMu -0.01588830 0.03520879 0.01857481 0.077404505 0.004562312
< sigmaNu -0.01721636 0.01675975 0.02573871 0.004562312 0.029509146
---
> (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
1464,1468c1464,1468
< (Intercept) -0.232442600 0.5480441 -0.424131163 6.714702e-01
< x1 1.892762037 0.3009619 6.289043014 3.194290e-10
< x2 1.967776208 0.8184578 2.404248813 1.620574e-02
< logSigmaMu 0.001280809 0.2778605 0.004609538 9.963221e-01
< logSigmaNu 0.052615611 0.1629775 0.322839719 7.468166e-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
1471,1475c1471,1475
< (Intercept) -0.2324426 0.5480441 -0.4241312 6.714702e-01
< x1 1.8927620 0.3009619 6.2890430 3.194290e-10
< x2 1.9677762 0.8184578 2.4042488 1.620574e-02
< sigmaMu 1.0012816 0.2782167 3.5989277 3.195319e-04
< sigmaNu 1.0540244 0.1717823 6.1358163 8.472304e-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
1477c1477
< 'log Lik.' -64.31274 (df=5)
---
> 'log Lik.' -64.31273 (df=5)
1482c1482
< [1] -64.31274
---
> [1] -64.31273
1486c1486
< -0.232442600 1.892762037 1.967776208 0.001280809 0.052615611
---
> -0.23378216 1.89328013 1.96960246 0.00154326 0.05286747
1490c1490
< -0.0056325174 0.0009000343 0.0034915693 0.0038750840 0.0023401697
---
> -0.002894857 -0.002369745 0.002610000 0.003016516 -0.002543448
1494,1498c1494,1498
< (Intercept) -9.93644149 -1.493047 -5.3104057 -0.06811141 -0.323356
< x1 -1.49304740 -15.148585 -0.5464640 6.29677194 7.627908
< x2 -5.31040567 -0.546464 -4.3935563 0.15289534 1.075864
< logSigmaMu -0.06811141 6.296772 0.1528953 -15.79353163 -1.381504
< logSigmaNu -0.32335602 7.627908 1.0758639 -1.38150405 -43.177667
---
> (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
1509c1509
< -0.232448064 1.892708426 1.967754825 0.001314507 0.052853201
---
> -0.233805135 1.893310605 1.969641022 0.001551443 0.052675686
1512c1512
< [1] -64.31274
---
> [1] -64.31273
1515,1529c1515,1529
< [1,] -0.85425329 -0.10571065 -0.18127223 -0.0234368 -0.8364206
< [2,] -1.41704219 -0.02614221 -0.97179556 1.4563090 -1.1646089
< [3,] 1.29761016 1.02185361 0.92574606 1.0917387 0.1541327
< [4,] 0.07114704 -0.25154424 -0.39766472 -0.7017376 -1.8283089
< [5,] 0.08902466 0.80807895 0.64793098 -0.6906269 -0.2836592
< [6,] 0.55945557 0.49505039 0.42904413 -0.2914529 -0.3604374
< [7,] -0.12096176 -3.05997064 -0.23672576 -0.7058358 6.3373986
< [8,] -0.21018847 0.33596091 0.08314315 -0.5902731 -1.0300146
< [9,] 1.03420686 0.66087830 0.28831414 0.1965098 -1.2973073
< [10,] -0.42860545 -0.58528407 -0.11751859 -0.3957126 -1.8012041
< [11,] -0.04112830 1.09444798 -0.50822514 -0.8661595 1.9999301
< [12,] 1.14083684 0.50518955 0.83275375 0.5858536 -0.7449742
< [13,] 0.53412664 -0.28122438 0.34755451 -0.2873770 -1.4342622
< [14,] -1.63809428 -1.34651301 -0.83787035 2.1186704 2.7642878
< [15,] -0.02159783 0.73868541 -0.29950991 -0.8937950 -0.4829448
---
> [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
1532c1532
< [1] -93878.47 -921028.88 -367357.06 578932.02 4081771.75
---
> [1] -394657.2 523581.9 662476.4 140569.0 -3294770.3
1540c1540
< [1] 97
---
> [1] 96
1547,1561c1547,1561
< [1,] -0.85453539 -0.10584807 -0.18137170 -0.02325309 -0.8361652
< [2,] -1.41714717 -0.02623593 -0.97191766 1.45659209 -1.1646659
< [3,] 1.29776636 1.02174227 0.92584706 1.09199214 0.1542908
< [4,] 0.07089486 -0.25167468 -0.39803862 -0.70178833 -1.8276221
< [5,] 0.08902392 0.80806895 0.64809865 -0.69072941 -0.2833284
< [6,] 0.55945708 0.49488275 0.42913436 -0.29142622 -0.3597854
< [7,] -0.12093144 -3.06160692 -0.23683039 -0.70598545 6.3417036
< [8,] -0.21010682 0.33591107 0.08318941 -0.59041413 -1.0298291
< [9,] 1.03434411 0.66090148 0.28834615 0.19653293 -1.2971889
< [10,] -0.42868879 -0.58566974 -0.11751750 -0.39554316 -1.8008106
< [11,] -0.04096924 1.09485292 -0.50830285 -0.86632419 2.0011911
< [12,] 1.14077511 0.50525840 0.83274819 0.58568413 -0.7446883
< [13,] 0.53435312 -0.28147793 0.34770260 -0.28710435 -1.4338155
< [14,] -1.63848663 -1.34719878 -0.83808629 2.11968098 2.7651809
< [15,] -0.02138159 0.73899424 -0.29950984 -0.89403885 -0.4821269
---
> [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
1628,1631c1628,1632
< [1] "Component 1: Mean relative difference: 4.8401e-07"
< [2] "Component 2: Mean relative difference: 0.001024015"
< [3] "Component 3: Mean relative difference: 1.145929"
< [4] "Component 4: Mean relative difference: 0.00122412"
---
> [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"
1633c1634
< [1] "Mean relative difference: 0.0009389516"
---
> [1] "Mean relative difference: 0.0006692936"
1667c1668
< [1] 3.542899e-05
---
> [1] 1.160884e-05
1669c1670
< [1] -3.542899e-05
---
> [1] -1.160884e-05
1693c1694
< -0.222401 1.640201 2.108243 -0.167917 -0.001142
---
> -0.223438 1.640494 2.109440 -0.167351 -0.001139
1698c1699
< BFGSR maximization, 92 iterations
---
> BFGSR maximization, 91 iterations
1700c1701
< Log-Likelihood: -71.19258
---
> Log-Likelihood: -71.19256
1704,1708c1705,1709
< (Intercept) -0.2224009 0.4723840 -0.4708 0.63778
< x1 1.6402010 0.2110206 7.7727 7.683e-15 ***
< x2 2.1082432 0.6847981 3.0786 0.00208 **
< logSigmaMu -0.1679167 0.2716492 -0.6181 0.53648
< logSigmaNu -0.0011421 0.1322768 -0.0086 0.99311
---
> (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
1723,1727c1724,1728
< (Intercept) -0.222401 0.472384 -0.471 0.63778
< x1 1.640201 0.211021 7.773 7.68e-15 ***
< x2 2.108243 0.684798 3.079 0.00208 **
< logSigmaMu -0.167917 0.271649 -0.618 0.53648
< logSigmaNu -0.001142 0.132277 -0.009 0.99311
---
> (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
1731c1732
< BFGSR maximization, 92 iterations
---
> BFGSR maximization, 91 iterations
1733c1734
< Log-likelihood: -71.19258 on 5 Df
---
> Log-likelihood: -71.19256 on 5 Df
1736c1737
< 'log Lik.' -71.19258 (df=5)
---
> 'log Lik.' -71.19256 (df=5)
1738c1739
< [1] -36.0000 152.3852
---
> [1] -36.0000 152.3851
1741c1742
< [1] -71.19258
---
> [1] -71.19256
1745c1746
< -0.222400907 1.640200954 2.108243208 -0.167916711 -0.001142112
---
> -0.223437886 1.640494086 2.109439512 -0.167351143 -0.001138553
1749c1750
< -5.753209e-03 3.090146e-03 4.728371e-03 4.883171e-03 8.068075e-05
---
> -0.0023645994 0.0002134735 0.0043525355 -0.0012274752 -0.0003310896
1753,1757c1754,1758
< (Intercept) -13.802411 -4.348540 -7.5339996 -1.1054343 -1.945143
< x1 -4.348540 -25.817665 -2.0588862 4.6503114 4.047863
< x2 -7.534000 -2.058886 -6.2690495 -0.1406843 -1.062626
< logSigmaMu -1.105434 4.650311 -0.1406843 -14.9138099 -3.784799
< logSigmaNu -1.945143 4.047863 -1.0626264 -3.7847993 -58.834474
---
> (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
1773c1774
< [1] 92
---
> [1] 91
1780,1794c1781,1795
< [1,] -0.50890092 0.088732657 0.1034327 -0.39396831 -0.53094589
< [2,] -1.81848616 0.066582650 -1.2482813 1.79978476 -0.96065900
< [3,] 1.78587240 0.486096205 1.7704281 1.73397849 1.89669084
< [4,] 0.15213957 -0.162603235 -0.3958829 -0.73684706 -1.58575054
< [5,] 0.08159804 1.039110364 0.6979966 -0.67785982 -0.44670906
< [6,] 0.33295712 -0.231042531 0.3739135 -0.53969097 -1.57371507
< [7,] -0.18084775 -3.029357820 -0.2485926 -0.62191579 5.47950842
< [8,] 0.01855140 -0.004043739 0.0106102 -0.41748226 -0.58192804
< [9,] 1.11622854 0.666969034 0.2958206 0.06367534 -1.68538215
< [10,] -0.53849876 -0.420324391 -0.2046249 -0.40620111 -1.97441835
< [11,] -0.08337430 1.378740354 -0.6478705 -0.82271409 2.49600196
< [12,] 1.25962258 0.532162258 0.6698557 0.23154498 -1.79386452
< [13,] 0.44667053 -0.163288895 0.2863576 -0.46852714 -1.45042304
< [14,] -1.89394169 -1.287772611 -0.9629041 1.98416884 2.68285142
< [15,] -0.17534381 1.043129845 -0.4955304 -0.72306270 0.02882369
---
> [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’ [27s/27s]
Comparing ‘censRegTest.Rout’ to ‘censRegTest.Rout.save’ ...32c32
< -3.657695e-12 -1.123246e-10 -2.533772e-11 -1.212106e-11 -1.469341e-11
---
> -3.932352e-12 -1.208755e-10 -2.731102e-11 -1.302267e-11 -1.581067e-11
34c34
< -1.563155e-11 -3.594555e-12
---
> -1.679983e-11 -3.828576e-12
1444,1448c1444,1448
< (Intercept) 7.515523726 -0.1196798503 0.089357155 -0.3970037879
< age -0.119679850 0.0062557406 -0.008052616 0.0005380018
< yearsmarried 0.089357155 -0.0080526163 0.018095076 -0.0100637228
< religiousness -0.397003788 0.0005380018 -0.010063723 0.1630153147
< occupation -0.176564351 -0.0039320119 0.003581751 0.0052148835
---
> (Intercept) 7.515523717 -0.1196798498 0.089357154 -0.3970037876
> age -0.119679850 0.0062557405 -0.008052616 0.0005380018
> yearsmarried 0.089357154 -0.0080526163 0.018095076 -0.0100637228
> religiousness -0.397003788 0.0005380018 -0.010063723 0.1630153148
> occupation -0.176564351 -0.0039320120 0.003581751 0.0052148835
1450c1450
< logSigma 0.006968089 -0.0005561255 0.001594861 -0.0049447513
---
> logSigma 0.006968089 -0.0005561255 0.001594861 -0.0049447512
1452c1452
< (Intercept) -0.176564351 -0.616442290 0.0069680895
---
> (Intercept) -0.176564351 -0.616442290 0.0069680894
1455c1455
< religiousness 0.005214883 -0.000025713 -0.0049447513
---
> religiousness 0.005214883 -0.000025713 -0.0049447512
1461,1462c1461,1462
< (Intercept) 7.51552373 -0.1196798503 0.089357155 -0.3970037879 -0.176564351
< age -0.11967985 0.0062557406 -0.008052616 0.0005380018 -0.003932012
---
> (Intercept) 7.51552372 -0.1196798498 0.089357154 -0.3970037876 -0.176564351
> age -0.11967985 0.0062557405 -0.008052616 0.0005380018 -0.003932012
1464,1465c1464,1465
< religiousness -0.39700379 0.0005380018 -0.010063723 0.1630153147 0.005214883
< occupation -0.17656435 -0.0039320119 0.003581751 0.0052148835 0.064731952
---
> religiousness -0.39700379 0.0005380018 -0.010063723 0.1630153148 0.005214883
> occupation -0.17656435 -0.0039320120 0.003581751 0.0052148835 0.064731952
1467c1467
< sigma 0.05746639 -0.0045864114 0.013152944 -0.0407797608 0.007361278
---
> sigma 0.05746639 -0.0045864114 0.013152944 -0.0407797607 0.007361278
1469c1469
< (Intercept) -0.616442290 0.057466394
---
> (Intercept) -0.616442290 0.057466393
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 31.444362 5.012721e-217
---
> logSigma 2.1098592 0.06709817 31.444363 5.012720e-217
1489c1489
< yearsmarried 0.5541418 0.13451794 4.119464 3.797547e-05
---
> yearsmarried 0.5541418 0.13451794 4.119464 3.797546e-05
1501c1501
< religiousness 0.24868749 -0.19433695 0.24013928 -0.05180838 0.39683239
---
> religiousness 0.24868749 -0.19433695 0.24013928 -0.05180838 0.39683238
1503c1503
< rating 0.42736955 -0.33262559 0.39683239 -0.08982951 0.69029275
---
> rating 0.42736955 -0.33262559 0.39683238 -0.08982951 0.69029275
2206,2210c2206,2210
< (Intercept) 4516.829760 -71.9275900 53.7036500 -238.59927652 -106.1151747
< age -71.927590 3.7597001 -4.8396224 0.32333908 -2.3631392
< yearsmarried 53.703650 -4.8396224 10.8751405 -6.04829743 2.1526325
< religiousness -238.599277 0.3233391 -6.0482974 97.97220414 3.1341450
< occupation -106.115175 -2.3631392 2.1526325 3.13414496 38.9039031
---
> (Intercept) 4516.829754 -71.9275897 53.7036495 -238.59927637 -106.1151747
> age -71.927590 3.7597001 -4.8396224 0.32333907 -2.3631392
> yearsmarried 53.703650 -4.8396224 10.8751405 -6.04829740 2.1526325
> religiousness -238.599276 0.3233391 -6.0482974 97.97220417 3.1341450
> occupation -106.115175 -2.3631392 2.1526325 3.13414497 38.9039031
2214,2216c2214,2216
< (Intercept) -370.48181616 4.1878218
< age 0.66800944 -0.3342314
< yearsmarried 2.86776000 0.9585113
---
> (Intercept) -370.48181623 4.1878217
> age 0.66800943 -0.3342314
> yearsmarried 2.86776003 0.9585113
2219,2220c2219,2220
< rating 99.96049026 -4.1336246
< logSigma -4.13362458 2.7058010
---
> rating 99.96049033 -4.1336246
> logSigma -4.13362457 2.7058010
2223,2228c2223,2228
< (Intercept) 9.47367039 -0.1866313724 0.1635733340 -0.418908001
< age -0.18663137 0.0079058556 -0.0095918570 0.004428060
< yearsmarried 0.16357333 -0.0095918570 0.0188135429 -0.014683003
< religiousness -0.41890800 0.0044280596 -0.0146830027 0.159883141
< occupation -0.15702919 -0.0046649147 0.0057844632 -0.001256192
< rating -0.66543808 0.0042270112 0.0012457507 -0.011972013
---
> (Intercept) 9.47367036 -0.1866313711 0.1635733321 -0.418908000
> age -0.18663137 0.0079058555 -0.0095918569 0.004428060
> yearsmarried 0.16357333 -0.0095918569 0.0188135428 -0.014683003
> religiousness -0.41890800 0.0044280595 -0.0146830026 0.159883141
> occupation -0.15702919 -0.0046649147 0.0057844633 -0.001256192
> rating -0.66543808 0.0042270111 0.0012457508 -0.011972013
2231,2236c2231,2236
< (Intercept) -0.1570291864 -0.6654380787 -0.0408634492
< age -0.0046649147 0.0042270112 0.0007910192
< yearsmarried 0.0057844632 0.0012457507 -0.0005738356
< religiousness -0.0012561918 -0.0119720134 -0.0024757442
< occupation 0.0605051421 -0.0008286106 0.0005882962
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> religiousness3 1490.312966 1071.925787 4.6494203 44.4204457
> religiousness4 1071.925787 1529.901847 8.0699726 34.7769383
> occupation 4.649420 8.069973 39.5103743 -3.9362672
> rating 44.420446 34.776938 -3.9362672 101.7866788
17867c17867
< (Intercept) 3.1385462
---
> (Intercept) 3.1385460
17878,17886c17878,17886
< (Intercept) 10.31538091 -0.200651746 0.1686842101 -1.1319277030
< age -0.20065175 0.009401332 -0.0116862348 -0.0126882103
< yearsmarried 0.16868421 -0.011686235 0.0222169680 0.0020910173
< religiousness2 -1.13192770 -0.012688210 0.0020910173 2.3677473926
< religiousness3 -1.67391450 0.009680115 -0.0335847977 1.5816089430
< religiousness4 -1.63520650 0.020356050 -0.0571329532 1.5834255175
< occupation -0.21663045 -0.004766186 0.0071748020 -0.0149992597
< rating -0.70525290 0.001990725 0.0047558306 0.0059794243
< logSigma -0.05205719 0.001000981 -0.0009214505 0.0007548113
---
> (Intercept) 10.31538093 -0.200651745 0.1686842095 -1.1319277037
> age -0.20065175 0.009401332 -0.0116862348 -0.0126882102
> yearsmarried 0.16868421 -0.011686235 0.0222169680 0.0020910171
> religiousness2 -1.13192770 -0.012688210 0.0020910171 2.3677473930
> religiousness3 -1.67391450 0.009680115 -0.0335847979 1.5816089425
> religiousness4 -1.63520649 0.020356049 -0.0571329533 1.5834255179
> occupation -0.21663046 -0.004766186 0.0071748020 -0.0149992598
> rating -0.70525290 0.001990725 0.0047558307 0.0059794244
> logSigma -0.05205719 0.001000981 -0.0009214505 0.0007548114
17888,17895c17888,17895
< (Intercept) -1.673914502 -1.635206498 -0.2166304541 -0.7052528951
< age 0.009680115 0.020356050 -0.0047661857 0.0019907250
< yearsmarried -0.033584798 -0.057132953 0.0071748020 0.0047558306
< religiousness2 1.581608943 1.583425517 -0.0149992597 0.0059794243
< religiousness3 2.344052055 1.676859202 0.0085145594 0.0042720440
< religiousness4 1.676859202 2.490749124 -0.0079195865 -0.0274176769
< occupation 0.008514559 -0.007919587 0.0698641099 0.0025917523
< rating 0.004272044 -0.027417677 0.0025917523 0.1682841971
---
> (Intercept) -1.673914504 -1.635206495 -0.2166304561 -0.7052528970
> age 0.009680115 0.020356049 -0.0047661857 0.0019907250
> yearsmarried -0.033584798 -0.057132953 0.0071748020 0.0047558307
> religiousness2 1.581608943 1.583425518 -0.0149992598 0.0059794244
> religiousness3 2.344052053 1.676859201 0.0085145595 0.0042720444
> religiousness4 1.676859201 2.490749125 -0.0079195867 -0.0274176772
> occupation 0.008514559 -0.007919587 0.0698641100 0.0025917525
> rating 0.004272044 -0.027417677 0.0025917525 0.1682841972
17898c17898
< (Intercept) -0.0520571903
---
> (Intercept) -0.0520571909
17901c17901
< 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 ... [7s/7s] OK
- checking re-building of vignette PDFs ... [9s/10s] OK
- checking PDF version of manual ... OK
NOTE: There was 1 note.
See
‘/home/hornik/tmp/R.check/r-release/Work/PKGS/censReg.Rcheck/00check.log’
for details.