• using R version 2.14.2 (2012-02-29)
• using platform: i386-pc-mingw32 (32-bit)
• using session charset: ISO8859-1
• 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 whether package 'censReg' can be installed ... OK
• checking installed package size ... OK
• checking package directory ... OK
• checking for portable file names ... OK
• checking DESCRIPTION meta-information ... OK
• checking top-level files ... OK
• checking 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 examples ... OK
• checking for unstated dependencies in tests ... OK
• checking tests ... OK
  Running 'censRegPanelLargerTest.R'
  Comparing 'censRegPanelLargerTest.Rout' to 'censRegPanelLargerTest.Rout.save' ... OK
  Running 'censRegPanelTest.R'
  Comparing 'censRegPanelTest.Rout' to 'censRegPanelTest.Rout.save' ...127c127
  < (Intercept) 0.225109672 -0.020570168 -0.254602886 -0.023824162 -0.002973952
  ---
  > (Intercept) 0.225109671 -0.020570168 -0.254602886 -0.023824162 -0.002973952
  129c129
  < x2 -0.254602886 0.008562225 0.454125882 0.017179542 0.001505438
  ---
  > x2 -0.254602886 0.008562225 0.454125881 0.017179542 0.001505438
  134c134
  < (Intercept) 0.225109672 -0.020570168 -0.254602886 -0.020929366 -0.002937279
  ---
  > (Intercept) 0.225109671 -0.020570168 -0.254602886 -0.020929366 -0.002937279
  136c136
  < x2 -0.254602886 0.008562225 0.454125882 0.015092113 0.001486874
  ---
  > x2 -0.254602886 0.008562225 0.454125881 0.015092113 0.001486874
  143c143
  < x2 2.24054376 0.6738886 3.32479829 8.848252e-04
  ---
  > x2 2.24054376 0.6738886 3.32479830 8.848252e-04
  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
  < -0.36953 1.68019 2.24656 -0.12922 -0.01249
  ---
  > -0.36750 1.67993 2.24379 -0.12947 -0.01241
  609,613c609,611
  < BFGSR maximization, 86 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: -73.19886
  ---
  > BFGSR maximization, 78 iterations
  > Return code 2: successive function values within tolerance limit
  > Log-Likelihood: -73.19883
  617,621c615,619
  < (Intercept) -0.369531 0.474847 -0.7782 0.4364443
  < x1 1.680185 0.209249 8.0296 9.778e-16 ***
  < x2 2.246556 0.674038 3.3330 0.0008592 ***
  < logSigmaMu -0.129224 0.257984 -0.5009 0.6164414
  < logSigmaNu -0.012486 0.129687 -0.0963 0.9232983
  ---
  > (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
  636,640c634,638
  < (Intercept) -0.36953 0.47485 -0.778 0.436444
  < x1 1.68019 0.20925 8.030 9.78e-16 ***
  < x2 2.24656 0.67404 3.333 0.000859 ***
  < logSigmaMu -0.12922 0.25798 -0.501 0.616441
  < logSigmaNu -0.01249 0.12969 -0.096 0.923298
  ---
  > (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
  644,648c642,644
  < BFGSR maximization, 86 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: -73.19886 on 5 Df
  ---
  > BFGSR maximization, 78 iterations
  > Return code 2: successive function values within tolerance limit
  > Log-likelihood: -73.19883 on 5 Df
  652c648
  < [1] -73.19886
  ---
  > [1] -73.19883
  656c652
  < -0.36953135 1.68018538 2.24655566 -0.12922439 -0.01248621
  ---
  > -0.36750163 1.67992931 2.24379444 -0.12947348 -0.01240886
  660c656
  < 0.0067976812 0.0003914469 -0.0094628568 0.0002338863 0.0067170282
  ---
  > 0.0014212306 0.0034992596 -0.0064419525 0.0003782988 0.0003341343
  664,668c660,664
  < (Intercept) -13.310913 -4.096127 -7.3036358 -2.131838 -1.2919045
  < x1 -4.096127 -26.074725 -1.9892387 4.482489 4.7607590
  < x2 -7.303636 -1.989239 -6.2348462 -0.632623 -0.4507922
  < logSigmaMu -2.131838 4.482489 -0.6326230 -16.680530 -3.7201533
  < logSigmaNu -1.291904 4.760759 -0.4507922 -3.720153 -61.0683899
  ---
  > (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
  671c667
  < [1] 3
  ---
  > [1] 2
  674c670
  < [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"
  677,703c673
  < $last.step$theta0
  < (Intercept) x1 x2 logSigmaMu logSigmaNu
  < -0.36930541 1.68020334 2.24624063 -0.12921320 -0.01202765
  <
  < $last.step$f0
  < [1] -73.19886
  < attr(,"gradient")
  < [,1] [,2] [,3] [,4] [,5]
  < [1,] -0.85195478 0.22364582 -0.07343546 -0.1446507 -0.9672884
  < [2,] -1.70286815 0.04688295 -1.19046308 1.6816491 -1.0125073
  < [3,] 1.74948380 0.33385089 1.72465027 1.8336080 1.7950839
  < [4,] 0.15584410 -0.20297237 -0.43282362 -0.6889956 -1.4304905
  < [5,] 0.12971068 0.98293032 0.68736726 -0.6768104 -0.5612155
  < [6,] 0.33025013 -0.30609366 0.38390294 -0.4921780 -1.5826018
  < [7,] -0.08033504 -3.18354431 -0.23674111 -0.6768572 6.0257087
  < [8,] -0.26595856 0.37810339 0.05565465 -0.5387401 -1.1089402
  < [9,] 1.14843844 0.59341891 0.30321268 0.1344150 -1.6161305
  < [10,] -0.43396230 -0.40488743 -0.15218413 -0.4696328 -1.9372551
  < [11,] -0.02799416 1.44901464 -0.64428983 -0.9176905 2.7372506
  < [12,] 1.21008098 0.53787651 0.61164599 0.2052286 -1.7345101
  < [13,] 0.53627123 -0.22506806 0.33105719 -0.3687490 -1.4090253
  < [14,] -1.81409488 -1.30727310 -0.91981527 1.9575737 2.5762102
  < [15,] -0.07751159 1.08597282 -0.45713800 -0.8400300 0.2043295
  <
  < $last.step$climb
  < [1] 3881631.1 308519.7 -5412229.9 192247.3 7878080.7
  <
  ---
  > NULL
  710c680
  < [1] 86
  ---
  > [1] 78
  717,731c687,701
  < [1,] -0.85231689 0.22413002 -0.07333473 -0.1444764 -0.9663102
  < [2,] -1.70300830 0.04696658 -1.19067808 1.6820900 -1.0126250
  < [3,] 1.75034350 0.33318377 1.72560532 1.8357524 1.7971976
  < [4,] 0.15545225 -0.20315007 -0.43360441 -0.6890672 -1.4285363
  < [5,] 0.12985747 0.98319855 0.68783385 -0.6769287 -0.5603714
  < [6,] 0.33012855 -0.30637526 0.38394880 -0.4918972 -1.5814292
  < [7,] -0.08014164 -3.18668803 -0.23691143 -0.6771857 6.0331420
  < [8,] -0.26572159 0.37796965 0.05575699 -0.5390460 -1.1085372
  < [9,] 1.14879495 0.59387997 0.30327100 0.1345436 -1.6154749
  < [10,] -0.43382916 -0.40521640 -0.15209604 -0.4696277 -1.9366741
  < [11,] -0.02779294 1.45027886 -0.64472017 -0.9183806 2.7424170
  < [12,] 1.20997391 0.53820573 0.61137881 0.2049000 -1.7333463
  < [13,] 0.53662119 -0.22542963 0.33125878 -0.3683121 -1.4082792
  < [14,] -1.81446897 -1.30763008 -0.91985310 1.9584897 2.5784741
  < [15,] -0.07709465 1.08706778 -0.45731845 -0.8406202 0.2070701
  ---
  > [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
  834c804
  < 4.63392 1.68004 2.24124 -0.12949 -0.01241
  ---
  > 4.62970 1.67974 2.24826 -0.12967 -0.01247
  839c809
  < BFGSR maximization, 85 iterations
  ---
  > BFGSR maximization, 75 iterations
  841c811
  < Log-Likelihood: -73.19882
  ---
  > Log-Likelihood: -73.19889
  845,849c815,819
  < (Intercept) 4.633917 0.474509 9.7657 < 2.2e-16 ***
  < x1 1.680038 0.209228 8.0297 9.771e-16 ***
  < x2 2.241236 0.673913 3.3257 0.000882 ***
  < logSigmaMu -0.129495 0.258059 -0.5018 0.615807
  < logSigmaNu -0.012407 0.129691 -0.0957 0.923783
  ---
  > (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
  864,868c834,838
  < (Intercept) 4.63392 0.47451 9.766 < 2e-16 ***
  < x1 1.68004 0.20923 8.030 9.77e-16 ***
  < x2 2.24124 0.67391 3.326 0.000882 ***
  < logSigmaMu -0.12949 0.25806 -0.502 0.615807
  < logSigmaNu -0.01241 0.12969 -0.096 0.923783
  ---
  > (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
  872c842
  < BFGSR maximization, 85 iterations
  ---
  > BFGSR maximization, 75 iterations
  874c844
  < Log-likelihood: -73.19882 on 5 Df
  ---
  > Log-likelihood: -73.19889 on 5 Df
  878c848
  < 4.63391681 1.68003780 2.24123596 -0.12949461 -0.01240749
  ---
  > 4.62970160 1.67973837 2.24826176 -0.12967269 -0.01246575
  881c851
  < 4.6339168 1.6800378 2.2412360 0.8785393 0.9876692
  ---
  > 4.6297016 1.6797384 2.2482618 0.8783829 0.9876116
  884,888c854,858
  < (Intercept) 0.225158516 -0.020581263 -0.254640919 -0.02384788 -0.002981232
  < x1 -0.020581263 0.043776339 0.008573367 0.01340555 0.002970320
  < x2 -0.254640919 0.008573367 0.454158671 0.01719352 0.001523140
  < logSigmaMu -0.023847879 0.013405552 0.017193521 0.06659451 -0.002637180
  < logSigmaNu -0.002981232 0.002970320 0.001523140 -0.00263718 0.016819637
  ---
  > (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
  891,895c861,865
  < (Intercept) 0.225158516 -0.020581263 -0.254640919 -0.020951300 -0.002944471
  < x1 -0.020581263 0.043776339 0.008573367 0.011777304 0.002933694
  < x2 -0.254640919 0.008573367 0.454158671 0.015105185 0.001504359
  < sigmaMu -0.020951300 0.011777304 0.015105185 0.051399728 -0.002288298
  < sigmaNu -0.002944471 0.002933694 0.001504359 -0.002288298 0.016407394
  ---
  > (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
  897c867
  < 'log Lik.' -73.19882 (df=5)
  ---
  > 'log Lik.' -73.19889 (df=5)
  899c869
  < [1] -40.0000 156.3976
  ---
  > [1] -40.0000 156.3978
  902c872
  < [1] -73.19882
  ---
  > [1] -73.19889
  906c876
  < 4.63391681 1.68003780 2.24123596 -0.12949461 -0.01240749
  ---
  > 4.62970160 1.67973837 2.24826176 -0.12967269 -0.01246575
  910c880
  < 0.0008206454 -0.0001366311 -0.0010551461 -0.0001856568 0.0001995379
  ---
  > 0.007307875 0.009883823 -0.013334396 0.006186400 0.005241257
  914,918c884,888
  < (Intercept) -13.320279 -4.096434 -7.3068893 -2.1106932 -1.3068047
  < x1 -4.096434 -26.075966 -1.9903195 4.4846198 4.7622812
  < x2 -7.306889 -1.990320 -6.2359246 -0.6248663 -0.4769034
  < logSigmaMu -2.110693 4.484620 -0.6248663 -16.6609201 -3.7217995
  < logSigmaNu -1.306805 4.762281 -0.4769034 -3.7217995 -61.0673143
  ---
  > (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
  934c904
  < [1] 85
  ---
  > [1] 75
  941,955c911,925
  < [1,] -0.85297643 0.22540301 -0.07269546 -0.1440635 -0.9616171
  < [2,] -1.70304001 0.04823069 -1.18993606 1.6808865 -1.0132513
  < [3,] 1.75072518 0.33357582 1.72728721 1.8353560 1.8034689
  < [4,] 0.15573851 -0.20248977 -0.43239500 -0.6890963 -1.4344148
  < [5,] 0.12954059 0.98418618 0.68923916 -0.6770115 -0.5550967
  < [6,] 0.33031689 -0.30899815 0.38461891 -0.4921150 -1.5796309
  < [7,] -0.08188950 -3.18534380 -0.23720393 -0.6767009 6.0278243
  < [8,] -0.26671102 0.37877286 0.05567060 -0.5386426 -1.1090369
  < [9,] 1.14828854 0.59392113 0.30327969 0.1331520 -1.6170824
  < [10,] -0.43489455 -0.40626428 -0.15240769 -0.4688671 -1.9365209
  < [11,] -0.02832020 1.44819453 -0.64413673 -0.9174019 2.7357411
  < [12,] 1.21040034 0.53685309 0.61305944 0.2054550 -1.7349380
  < [13,] 0.53600905 -0.22525546 0.33118566 -0.3690141 -1.4082958
  < [14,] -1.81455327 -1.30624979 -0.91953062 1.9574253 2.5811211
  < [15,] -0.07781348 1.08532731 -0.45709032 -0.8395473 0.2019288
  ---
  > [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
  1021c991
  < 0.3697 -1.6801 -2.2468 -0.1292 -0.0124
  ---
  > 0.36750 -1.67993 -2.24379 -0.12947 -0.01241
  1026,1030c996,998
  < BFGSR maximization, 84 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: -73.19887
  ---
  > BFGSR maximization, 78 iterations
  > Return code 2: successive function values within tolerance limit
  > Log-Likelihood: -73.19883
  1034,1038c1002,1006
  < (Intercept) 0.369714 0.474880 0.7785 0.4362489
  < x1 -1.680139 0.209261 -8.0289 9.833e-16 ***
  < x2 -2.246811 0.674091 -3.3331 0.0008588 ***
  < logSigmaMu -0.129202 0.258000 -0.5008 0.6165256
  < logSigmaNu -0.012405 0.129696 -0.0956 0.9238034
  ---
  > (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
  1054,1058c1022,1026
  < (Intercept) 0.3697 0.4749 0.779 0.436249
  < x1 -1.6801 0.2093 -8.029 9.83e-16 ***
  < x2 -2.2468 0.6741 -3.333 0.000859 ***
  < logSigmaMu -0.1292 0.2580 -0.501 0.616526
  < logSigmaNu -0.0124 0.1297 -0.096 0.923803
  ---
  > (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
  1062,1066c1030,1032
  < BFGSR maximization, 84 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: -73.19887 on 5 Df
  ---
  > BFGSR maximization, 78 iterations
  > Return code 2: successive function values within tolerance limit
  > Log-likelihood: -73.19883 on 5 Df
  1070c1036
  < 0.36971440 -1.68013907 -2.24681122 -0.12920153 -0.01240468
  ---
  > 0.36750163 -1.67992931 -2.24379444 -0.12947348 -0.01240886
  1073c1039
  < 0.3697144 -1.6801391 -2.2468112 0.8787968 0.9876719
  ---
  > 0.3675016 -1.6799293 -2.2437944 0.8785579 0.9876678
  1076,1080c1042,1046
  < (Intercept) 0.225510802 -0.020664071 -0.254923003 0.02403607 0.003039811
  < x1 -0.020664071 0.043790009 0.008659463 -0.01341834 -0.002968043
  < x2 -0.254923003 0.008659463 0.454398606 -0.01730890 -0.001665925
  < logSigmaMu 0.024036073 -0.013418336 -0.017308899 0.06656415 -0.002628450
  < logSigmaNu 0.003039811 -0.002968043 -0.001665925 -0.00262845 0.016821167
  ---
  > (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
  1083,1087c1049,1053
  < (Intercept) 0.225510802 -0.020664071 -0.254923003 0.021122825 0.003002336
  < x1 -0.020664071 0.043790009 0.008659463 -0.011791991 -0.002931453
  < x2 -0.254923003 0.008659463 0.454398606 -0.015211006 -0.001645387
  < sigmaMu 0.021122825 -0.011791991 -0.015211006 0.051406420 -0.002281397
  < sigmaNu 0.003002336 -0.002931453 -0.001645387 -0.002281397 0.016408979
  ---
  > (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
  1089c1055
  < 'log Lik.' -73.19887 (df=5)
  ---
  > 'log Lik.' -73.19883 (df=5)
  1094c1060
  < [1] -73.19887
  ---
  > [1] -73.19883
  1098c1064
  < 0.36971440 -1.68013907 -2.24681122 -0.12920153 -0.01240468
  ---
  > 0.36750163 -1.67992931 -2.24379444 -0.12947348 -0.01240886
  1102c1068
  < -0.0074033243 -0.0023308452 0.0096783455 -0.0004296385 0.0015545143
  ---
  > -0.0014212306 -0.0034992596 0.0064419525 0.0003782988 0.0003341343
  1106,1110c1072,1076
  < (Intercept) -13.309804 -4.095533 -7.3029374 2.1325575 1.292582
  < x1 -4.095533 -26.071358 -1.9889617 -4.4817673 -4.757388
  < x2 -7.302937 -1.988962 -6.2340853 0.6328292 0.450270
  < logSigmaMu 2.132557 -4.481767 0.6328292 -16.6789441 -3.719728
  < logSigmaNu 1.292582 -4.757388 0.4502700 -3.7197285 -61.058565
  ---
  > (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
  1113c1079
  < [1] 3
  ---
  > [1] 2
  1116c1082
  < [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"
  1119,1145c1085
  < $last.step$theta0
  < (Intercept) x1 x2 logSigmaMu logSigmaNu
  < 0.36966901 -1.68018865 -2.24675090 -0.12922079 -0.01258381
  <
  < $last.step$f0
  < [1] -73.19887
  < attr(,"gradient")
  < [,1] [,2] [,3] [,4] [,5]
  < [1,] 0.85237362 -0.22419929 0.07332903 -0.1444525 -0.9662299
  < [2,] 1.70303397 -0.04695015 1.19073958 1.6822004 -1.0126363
  < [3,] -1.75052366 -0.33302947 -1.72576988 1.8362278 1.7975060
  < [4,] -0.15537170 0.20320564 0.43379215 -0.6890709 -1.4279904
  < [5,] -0.12990173 -0.98322685 -0.68789971 -0.6769474 -0.5603246
  < [6,] -0.33010646 0.30637812 -0.38394896 -0.4918263 -1.5812265
  < [7,] 0.08005395 3.18738294 0.23693920 -0.6772661 6.0348475
  < [8,] 0.26564243 -0.37791888 -0.05578263 -0.5391212 -1.1084380
  < [9,] -1.14888573 -0.59396637 -0.30328459 0.1346144 -1.6152981
  < [10,] 0.43377061 0.40526078 0.15206716 -0.4696499 -1.9365524
  < [11,] 0.02773722 -1.45059127 0.64482282 -0.9185490 2.7436513
  < [12,] -1.20994203 -0.53830519 -0.61128358 0.2048284 -1.7330686
  < [13,] -0.53672172 0.22551733 -0.33130971 -0.3681950 -1.4081159
  < [14,] 1.81454487 1.30774583 0.91986950 1.9587033 2.5788806
  < [15,] 0.07698738 -1.08733625 0.45735928 -0.8407744 0.2077651
  <
  < $last.step$climb
  < [1] -779812.5 -851889.1 1036269.9 -330819.4 -3077417.0
  <
  ---
  > NULL
  1152c1092
  < [1] 84
  ---
  > [1] 78
  1159,1173c1099,1113
  < [1,] 0.85212177 -0.2241122 0.07332363 -0.1445999 -0.9667295
  < [2,] 1.70292073 -0.0469846 1.19062412 1.6819407 -1.0125569
  < [3,] -1.75021731 -0.3334833 -1.72535563 1.8355238 1.7963427
  < [4,] -0.15552164 0.2031242 0.43351514 -0.6890291 -1.4285942
  < [5,] -0.12986423 -0.9831504 -0.68768152 -0.6768977 -0.5607968
  < [6,] -0.33022524 0.3058922 -0.38391436 -0.4918496 -1.5818456
  < [7,] 0.08005666 3.1860740 0.23685143 -0.6771605 6.0316655
  < [8,] 0.26571012 -0.3779607 -0.05574555 -0.5390165 -1.1085834
  < [9,] -1.14875468 -0.5939226 -0.30325485 0.1345941 -1.6154357
  < [10,] 0.43372414 0.4049893 0.15206801 -0.4697299 -1.9368457
  < [11,] 0.02778014 -1.4502263 0.64468495 -0.9183366 2.7419992
  < [12,] -1.20996258 -0.5382637 -0.61130928 0.2049673 -1.7334434
  < [13,] -0.53657317 0.2253401 -0.33121238 -0.3683616 -1.4084533
  < [14,] 1.81429185 1.3073703 0.91977925 1.9581307 2.5778236
  < [15,] 0.07711012 -1.0870173 0.45730538 -0.8406049 0.2070080
  ---
  > [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
  1240c1180
  < -4.63360 -1.68006 -2.24177 -0.12952 -0.01239
  ---
  > -4.63391 -1.68002 -2.24127 -0.12953 -0.01241
  1245c1185
  < BFGSR maximization, 78 iterations
  ---
  > BFGSR maximization, 73 iterations
  1251,1255c1191,1195
  < (Intercept) -4.633601 0.474528 -9.7646 < 2.2e-16 ***
  < x1 -1.680058 0.209234 -8.0296 9.781e-16 ***
  < x2 -2.241770 0.673931 -3.3264 0.0008797 ***
  < logSigmaMu -0.129521 0.258069 -0.5019 0.6157471
  < logSigmaNu -0.012395 0.129693 -0.0956 0.9238628
  ---
  > (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
  1271,1275c1211,1215
  < (Intercept) -4.63360 0.47453 -9.765 < 2e-16 ***
  < x1 -1.68006 0.20923 -8.030 9.78e-16 ***
  < x2 -2.24177 0.67393 -3.326 0.00088 ***
  < logSigmaMu -0.12952 0.25807 -0.502 0.61575
  < logSigmaNu -0.01239 0.12969 -0.096 0.92386
  ---
  > (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
  1279c1219
  < BFGSR maximization, 78 iterations
  ---
  > BFGSR maximization, 73 iterations
  1285c1225
  < -4.63360121 -1.68005793 -2.24177011 -0.12952121 -0.01239466
  ---
  > -4.63391165 -1.68002232 -2.24127447 -0.12952582 -0.01241152
  1288c1228
  < -4.6336012 -1.6800579 -2.2417701 0.8785160 0.9876818
  ---
  > -4.6339117 -1.6800223 -2.2412745 0.8785119 0.9876652
  1291,1295c1231,1235
  < (Intercept) 0.225177005 -0.020587729 -0.254662531 0.023862696 0.002987383
  < x1 -0.020587729 0.043778736 0.008581303 -0.013407876 -0.002970504
  < x2 -0.254662531 0.008581303 0.454183475 -0.017206122 -0.001536987
  < logSigmaMu 0.023862696 -0.013407876 -0.017206122 0.066599373 -0.002638144
  < logSigmaNu 0.002987383 -0.002970504 -0.001536987 -0.002638144 0.016820290
  ---
  > (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
  1298,1302c1238,1242
  < (Intercept) 0.225177005 -0.020587729 -0.254662531 0.020963759 0.002950584
  < x1 -0.020587729 0.043778736 0.008581303 -0.011779033 -0.002933913
  < x2 -0.254662531 0.008581303 0.454183475 -0.015115853 -0.001518054
  < sigmaMu 0.020963759 -0.011779033 -0.015115853 0.051400749 -0.002289103
  < sigmaNu 0.002950584 -0.002933913 -0.001518054 -0.002289103 0.016408453
  ---
  > (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
  1313c1253
  < -4.63360121 -1.68005793 -2.24177011 -0.12952121 -0.01239466
  ---
  > -4.63391165 -1.68002232 -2.24127447 -0.12952582 -0.01241152
  1317c1257
  < -0.0010784730 0.0004901036 0.0021095485 0.0006325889 -0.0002308313
  ---
  > -7.425390e-04 -5.237316e-05 1.205358e-03 2.666987e-04 4.763349e-04
  1321,1325c1261,1265
  < (Intercept) -13.320406 -4.096444 -7.3069796 2.111980 1.3059004
  < x1 -4.096444 -26.075059 -1.9902409 -4.484542 -4.7625974
  < x2 -7.306980 -1.990241 -6.2359141 0.625160 0.4745145
  < logSigmaMu 2.111980 -4.484542 0.6251600 -16.660684 -3.7230673
  < logSigmaNu 1.305900 -4.762597 0.4745145 -3.723067 -61.0656046
  ---
  > (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
  1341c1281
  < [1] 78
  ---
  > [1] 73
  1348,1362c1288,1302
  < [1,] 0.85297299 -0.22516512 0.07281050 -0.1440751 -0.9620946
  < [2,] 1.70319745 -0.04800578 1.19013047 1.6811763 -1.0131268
  < [3,] -1.75078056 -0.33361869 -1.72714981 1.8353388 1.8029180
  < [4,] -0.15577585 0.20255495 0.43245426 -0.6890920 -1.4338833
  < [5,] -0.12956837 -0.98406480 -0.68907279 -0.6769738 -0.5557073
  < [6,] -0.33033558 0.30870963 -0.38456983 -0.4921408 -1.5798263
  < [7,] 0.08174661 3.18534875 0.23717289 -0.6766929 6.0280178
  < [8,] 0.26665390 -0.37870831 -0.05565873 -0.5386307 -1.1090504
  < [9,] -1.14837494 -0.59386706 -0.30329465 0.1333486 -1.6169706
  < [10,] 0.43488544 0.40619664 0.15242704 -0.4688991 -1.9365533
  < [11,] 0.02830398 -1.44832848 0.64418662 -0.9173845 2.7360929
  < [12,] -1.21044385 -0.53699273 -0.61294953 0.2055239 -1.7348718
  < [13,] -0.53607502 0.22526763 -0.33119456 -0.3689925 -1.4082962
  < [14,] 1.81469075 1.30660757 0.91967989 1.9576670 2.5808861
  < [15,] 0.07782458 -1.08544409 0.45713778 -0.8395406 0.2022350
  ---
  > [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
  1429c1369
  < -0.232196 1.893165 1.966894 0.001777 0.052721
  ---
  > -0.233782 1.893280 1.969602 0.001543 0.052867
  1438c1378
  < Log-Likelihood: -64.31275
  ---
  > Log-Likelihood: -64.31273
  1442,1446c1382,1386
  < (Intercept) -0.232196 0.548198 -0.4236 0.67189
  < x1 1.893164 0.301059 6.2884 3.208e-10 ***
  < x2 1.966894 0.818542 2.4029 0.01626 *
  < logSigmaMu 0.001777 0.277807 0.0064 0.99490
  < logSigmaNu 0.052721 0.162987 0.3235 0.74634
  ---
  > (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
  1462,1466c1402,1406
  < (Intercept) -0.232196 0.548198 -0.424 0.6719
  < x1 1.893165 0.301059 6.288 3.21e-10 ***
  < x2 1.966894 0.818543 2.403 0.0163 *
  < logSigmaMu 0.001777 0.277807 0.006 0.9949
  < logSigmaNu 0.052721 0.162987 0.323 0.7463
  ---
  > (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
  1474c1414
  < Log-likelihood: -64.31275 on 5 Df
  ---
  > Log-likelihood: -64.31273 on 5 Df
  1488,1492c1428,1432
  < (Intercept) -0.2322 0.5482 -0.424 0.671885
  < x1 1.8932 0.3011 6.288 3.21e-10 ***
  < x2 1.9669 0.8185 2.403 0.016265 *
  < sigmaMu 1.0018 0.2783 3.600 0.000319 ***
  < sigmaNu 1.0541 0.1718 6.135 8.49e-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 ***
  1500c1440
  < Log-likelihood: -64.31275 on 5 Df
  ---
  > Log-likelihood: -64.31273 on 5 Df
  1504c1444
  < -0.23219588 1.89316451 1.96689353 0.00177696 0.05272108
  ---
  > -0.23378216 1.89328013 1.96960246 0.00154326 0.05286747
  1507c1447
  < -0.2321959 1.8931645 1.9668935 1.0017785 1.0541356
  ---
  > -0.2337822 1.8932801 1.9696025 1.0015445 1.0542899
  1510,1514c1450,1454
  < (Intercept) 0.30052123 -0.03130258 -0.36379382 -0.015848244 -0.016326539
  < x1 -0.03130258 0.09063628 0.03166971 0.035180842 0.015920754
  < x2 -0.36379382 0.03166971 0.67001184 0.018525070 0.024382263
  < logSigmaMu -0.01584824 0.03518084 0.01852507 0.077176823 0.004346377
  < logSigmaNu -0.01632654 0.01592075 0.02438226 0.004346377 0.026564640
  ---
  > (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
  1517,1521c1457,1461
  < (Intercept) 0.30052123 -0.03130258 -0.36379382 -0.015876431 -0.017210386
  < x1 -0.03130258 0.09063628 0.03166971 0.035243413 0.016782633
  < x2 -0.36379382 0.03166971 0.67001184 0.018558018 0.025702211
  < sigmaMu -0.01587643 0.03524341 0.01855802 0.077451591 0.004589819
  < sigmaNu -0.01721039 0.01678263 0.02570221 0.004589819 0.029518676
  ---
  > (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
  1524,1528c1464,1468
  < (Intercept) -0.23219588 0.5481982 -0.423561946 6.718853e-01
  < x1 1.89316451 0.3010586 6.288358847 3.208396e-10
  < x2 1.96689353 0.8185425 2.402921664 1.626467e-02
  < logSigmaMu 0.00177696 0.2778072 0.006396379 9.948965e-01
  < logSigmaNu 0.05272108 0.1629866 0.323468746 7.463403e-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
  1531,1535c1471,1475
  < (Intercept) -0.2321959 0.5481982 -0.4235619 6.718853e-01
  < x1 1.8931645 0.3010586 6.2883588 3.208396e-10
  < x2 1.9668935 0.8185425 2.4029217 1.626467e-02
  < sigmaMu 1.0017785 0.2783013 3.5996191 3.186836e-04
  < sigmaNu 1.0541356 0.1718100 6.1354728 8.490629e-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
  1537c1477
  < 'log Lik.' -64.31275 (df=5)
  ---
  > 'log Lik.' -64.31273 (df=5)
  1542c1482
  < [1] -64.31275
  ---
  > [1] -64.31273
  1546c1486
  < -0.23219588 1.89316451 1.96689353 0.00177696 0.05272108
  ---
  > -0.23378216 1.89328013 1.96960246 0.00154326 0.05286747
  1550c1490
  < -0.0040657665 -0.0011527263 0.0060281291 -0.0017250506 -0.0008537858
  ---
  > -0.002894857 -0.002369745 0.002610000 0.003016516 -0.002543448
  1554,1558c1494,1498
  < (Intercept) -9.92715416 -1.4912545 -5.3058930 -0.06676992 -0.3265352
  < x1 -1.49125451 -15.1419162 -0.5457223 6.29752791 7.6288709
  < x2 -5.30589299 -0.5457223 -4.3908440 0.15282771 1.0711949
  < logSigmaMu -0.06676992 6.2975279 0.1528277 -15.80119590 -1.3702368
  < logSigmaNu -0.32653518 7.6288709 1.0711949 -1.37023680 -43.1758596
  ---
  > (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
  1569c1509
  < -0.232288035 1.893235449 1.966971134 0.001701246 0.052510248
  ---
  > -0.233805135 1.893310605 1.969641022 0.001551443 0.052675686
  1572c1512
  < [1] -64.31275
  ---
  > [1] -64.31273
  1575,1589c1515,1529
  < [1,] -0.85438511 -0.10576964 -0.18127497 -0.02339652 -0.8362062
  < [2,] -1.41607131 -0.02601401 -0.97110680 1.45524365 -1.1650109
  < [3,] 1.29731893 1.02117594 0.92563920 1.09209237 0.1542040
  < [4,] 0.07042529 -0.25185356 -0.39834178 -0.70154837 -1.8281841
  < [5,] 0.08904105 0.80781714 0.64832322 -0.69097829 -0.2824122
  < [6,] 0.55938538 0.49405529 0.42929261 -0.29116460 -0.3591157
  < [7,] -0.12079357 -3.06290772 -0.23688784 -0.70638714 6.3465277
  < [8,] -0.20975801 0.33573639 0.08337521 -0.59083876 -1.0292486
  < [9,] 1.03404163 0.66047273 0.28827406 0.19620120 -1.2972668
  < [10,] -0.42825521 -0.58610210 -0.11718806 -0.39550756 -1.8001725
  < [11,] -0.04053239 1.09474961 -0.50798643 -0.86680047 2.0009509
  < [12,] 1.13994137 0.50474585 0.83256887 0.58466741 -0.7443832
  < [13,] 0.53472686 -0.28191627 0.34797374 -0.28635293 -1.4334121
  < [14,] -1.63793352 -1.34706434 -0.83771945 2.11993278 2.7647180
  < [15,] -0.02074592 0.73865697 -0.29904143 -0.89493730 -0.4819792
  ---
  > [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
  1592c1532
  < [1] -1583175 1218743 1333209 -1300759 -3622044
  ---
  > [1] -394657.2 523581.9 662476.4 140569.0 -3294770.3
  1607,1621c1547,1561
  < [1,] -0.85412952 -0.10562319 -0.18117495 -0.02355317 -0.8363854
  < [2,] -1.41590144 -0.02585239 -0.97092930 1.45497919 -1.1649837
  < [3,] 1.29707355 1.02130880 0.92549599 1.09171472 0.1539870
  < [4,] 0.07051154 -0.25171264 -0.39808369 -0.70164682 -1.8287692
  < [5,] 0.08898230 0.80785650 0.64816071 -0.69094800 -0.2826327
  < [6,] 0.55928995 0.49420217 0.42914741 -0.29124062 -0.3596956
  < [7,] -0.12085484 -3.06141413 -0.23679976 -0.70626877 6.3425451
  < [8,] -0.20986715 0.33580646 0.08332418 -0.59072865 -1.0294067
  < [9,] 1.03383750 0.66052486 0.28821691 0.19599942 -1.2973846
  < [10,] -0.42819237 -0.58575330 -0.11719534 -0.39560225 -1.8005654
  < [11,] -0.04065161 1.09440491 -0.50790812 -0.86665223 1.9998239
  < [12,] 1.13988403 0.50466502 0.83251726 0.58454678 -0.7445472
  < [13,] 0.53437919 -0.28161087 0.34776325 -0.28665735 -1.4339261
  < [14,] -1.63751915 -1.34634384 -0.83747952 2.11904264 2.7638010
  < [15,] -0.02090775 0.73838890 -0.29902690 -0.89470992 -0.4827143
  ---
  > [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
  1688,1695c1628,1632
  < [1] "Component 1: Mean relative difference: 1.309505e-06"
  < [2] "Component 2: Mean relative difference: 0.002034083"
  < [3] "Component 3: Mean relative difference: 0.5216855"
  < [4] "Component 4: Mean relative difference: 0.001341088"
  < [5] "Component 5: Mean relative difference: 0.5"
  < [6] "Component 6: 1 string mismatch"
  < [7] "Component 7: target is NULL, current is list"
  < [8] "Component 9: Mean relative difference: 0.3650794"
  ---
  > [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"
  1697c1634
  < [1] "Mean relative difference: 0.001350323"
  ---
  > [1] "Mean relative difference: 0.0006692936"
  1703c1640
  < [1] "Component 5: target is NULL, current is list"
  ---
  > [1] TRUE
  1731c1668
  < [1] -9.585442e-05
  ---
  > [1] 1.160884e-05
  1733c1670
  < [1] 9.585442e-05
  ---
  > [1] -1.160884e-05
  1757c1694
  < -0.221073 1.640483 2.105952 -0.167816 -0.000975
  ---
  > -0.223438 1.640494 2.109440 -0.167351 -0.001139
  1762,1766c1699,1701
  < BFGSR maximization, 80 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: -71.1926
  ---
  > BFGSR maximization, 91 iterations
  > Return code 2: successive function values within tolerance limit
  > Log-Likelihood: -71.19256
  1770,1774c1705,1709
  < (Intercept) -0.22107300 0.47235798 -0.4680 0.639770
  < x1 1.64048327 0.21106083 7.7726 7.691e-15 ***
  < x2 2.10595191 0.68487192 3.0750 0.002105 **
  < logSigmaMu -0.16781621 0.27169153 -0.6177 0.536792
  < logSigmaNu -0.00097502 0.13230073 -0.0074 0.994120
  ---
  > (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
  1789,1793c1724,1728
  < (Intercept) -0.221073 0.472358 -0.468 0.63977
  < x1 1.640483 0.211061 7.773 7.69e-15 ***
  < x2 2.105952 0.684872 3.075 0.00211 **
  < logSigmaMu -0.167816 0.271691 -0.618 0.53679
  < logSigmaNu -0.000975 0.132301 -0.007 0.99412
  ---
  > (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
  1797,1801c1732,1734
  < BFGSR maximization, 80 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: -71.1926 on 5 Df
  ---
  > BFGSR maximization, 91 iterations
  > Return code 2: successive function values within tolerance limit
  > Log-likelihood: -71.19256 on 5 Df
  1804c1737
  < 'log Lik.' -71.1926 (df=5)
  ---
  > 'log Lik.' -71.19256 (df=5)
  1806c1739
  < [1] -36.0000 152.3852
  ---
  > [1] -36.0000 152.3851
  1809c1742
  < [1] -71.1926
  ---
  > [1] -71.19256
  1813c1746
  < -0.2210730039 1.6404832668 2.1059519150 -0.1678162053 -0.0009750219
  ---
  > -0.223437886 1.640494086 2.109439512 -0.167351143 -0.001138553
  1817c1750
  < -0.008482989 -0.004108959 0.008313602 0.002921264 -0.009122902
  ---
  > -0.0023645994 0.0002134735 0.0043525355 -0.0012274752 -0.0003310896
  1821,1825c1754,1758
  < (Intercept) -13.800938 -4.347442 -7.5325290 -1.0991808 -1.946440
  < x1 -4.347442 -25.809255 -2.0586281 4.6510261 4.060969
  < x2 -7.532529 -2.058628 -6.2673222 -0.1385345 -1.071867
  < logSigmaMu -1.099181 4.651026 -0.1385345 -14.9077359 -3.784320
  < logSigmaNu -1.946440 4.060969 -1.0718673 -3.7843204 -58.819197
  ---
  > (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
  1828c1761
  < [1] 3
  ---
  > [1] 2
  1831c1764
  < [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"
  1834,1860c1767
  < $last.step$theta0
  < (Intercept) x1 x2 logSigmaMu logSigmaNu
  < -0.2212571574 1.6405754973 2.1062782633 -0.1677960886 -0.0005903575
  <
  < $last.step$f0
  < [1] -71.1926
  < attr(,"gradient")
  < [,1] [,2] [,3] [,4] [,5]
  < [1,] -0.50906838 0.088250725 0.10315809 -0.39364500 -0.53086840
  < [2,] -1.81782071 0.066531743 -1.24751335 1.79858763 -0.96102090
  < [3,] 1.78440878 0.485397485 1.76947657 1.73097469 1.89634243
  < [4,] 0.15249838 -0.162453948 -0.39482323 -0.73653582 -1.58956731
  < [5,] 0.08135255 1.038645417 0.69778320 -0.67769551 -0.44638545
  < [6,] 0.33274614 -0.233293032 0.37407280 -0.54012011 -1.57435244
  < [7,] -0.18149587 -3.026170745 -0.24851817 -0.62143958 5.47275330
  < [8,] 0.01857365 -0.004048591 0.01062293 -0.41727018 -0.58213825
  < [9,] 1.11531017 0.665630295 0.29564695 0.06308052 -1.68712759
  < [10,] -0.53873698 -0.420581749 -0.20464785 -0.40600934 -1.97463105
  < [11,] -0.08400494 1.376234645 -0.64719653 -0.82182937 2.48766801
  < [12,] 1.25935053 0.531018370 0.67041872 0.23149230 -1.79572608
  < [13,] 0.44654005 -0.163232660 0.28636502 -0.46869256 -1.45105591
  < [14,] -1.89339402 -1.287722528 -0.96274622 1.98339200 2.68068728
  < [15,] -0.17583077 1.041090636 -0.49504799 -0.72253760 0.02398854
  <
  < $last.step$climb
  < [1] -3163734.3 1584508.7 5606621.6 345602.2 6608483.2
  <
  ---
  > NULL
  1867c1774
  < [1] 80
  ---
  > [1] 91
  1874,1888c1781,1795
  < [1,] -0.50913284 0.088801972 0.10350150 -0.39373306 -0.52974512
  < [2,] -1.81791989 0.066887485 -1.24756864 1.79879324 -0.96122667
  < [3,] 1.78513862 0.485143214 1.77046963 1.73272519 1.89869914
  < [4,] 0.15224525 -0.162472980 -0.39529031 -0.73672124 -1.58853652
  < [5,] 0.08146459 1.039095684 0.69838955 -0.67787661 -0.44483361
  < [6,] 0.33270793 -0.233520675 0.37416766 -0.53993861 -1.57315004
  < [7,] -0.18152761 -3.028504450 -0.24868254 -0.62163585 5.47775931
  < [8,] 0.01857197 -0.004048224 0.01062197 -0.41744900 -0.58195982
  < [9,] 1.11563889 0.666181796 0.29572582 0.06309405 -1.68664739
  < [10,] -0.53875956 -0.420916842 -0.20462564 -0.40595047 -1.97417244
  < [11,] -0.08380148 1.377166677 -0.64747108 -0.82224944 2.49131276
  < [12,] 1.25944807 0.531209602 0.67046754 0.23139320 -1.79479658
  < [13,] 0.44662016 -0.163406483 0.28644708 -0.46854872 -1.45045339
  < [14,] -1.89361860 -1.287587778 -0.96264983 1.98382988 2.68292707
  < [15,] -0.17555848 1.041862043 -0.49518910 -0.72281130 0.02570038
  ---
  > [1,] -0.50851468 0.088549089 0.10332418 -0.39424112 -0.5321531
  > [2,] -1.81705349 0.066630144 -1.24744468 1.79880183 -0.9613088
  > [3,] 1.78438158 0.484622552 1.76921902 1.73324126 1.8938711
  > [4,] 0.15178686 -0.162863846 -0.39633296 -0.73697159 -1.5844197
  > [5,] 0.08174549 1.038619943 0.69766179 -0.67810229 -0.4478988
  > [6,] 0.33238733 -0.231741427 0.37360317 -0.53970858 -1.5740604
  > [7,] -0.18005740 -3.029939879 -0.24845697 -0.62247948 5.4823898
  > [8,] 0.01878553 -0.004094775 0.01074411 -0.41775131 -0.5816437
  > [9,] 1.11613611 0.666458518 0.29576147 0.06379078 -1.6850635
  > [10,] -0.53761405 -0.420066528 -0.20419807 -0.40660173 -1.9743628
  > [11,] -0.08280126 1.379236916 -0.64772340 -0.82356321 2.4973552
  > [12,] 1.25885598 0.532122184 0.66915527 0.23058826 -1.7934726
  > [13,] 0.44678737 -0.163413157 0.28637417 -0.46810019 -1.4504984
  > [14,] -1.89274932 -1.287262705 -0.96222366 1.98378247 2.6810702
  > [15,] -0.17444065 1.043356443 -0.49511091 -0.72391258 0.0298645
  Running 'censRegTest.R'
  Comparing 'censRegTest.Rout' to 'censRegTest.Rout.save' ...32c32
  < -3.652023e-12 -1.121226e-10 -2.528523e-11 -1.210180e-11 -1.466054e-11
  ---
  > -3.932352e-12 -1.208755e-10 -2.731102e-11 -1.302267e-11 -1.581067e-11
  34c34
  < -1.561000e-11 -3.546732e-12
  ---
  > -1.679983e-11 -3.828576e-12
  1444,1450c1444,1450
  < (Intercept) 7.515523715 -0.1196798500 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 -0.616442289 0.0011114966 0.004771647 -2.571303e-05
  < logSigma 0.006968089 -0.0005561255 0.001594861 -4.944751e-03
  ---
  > (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
  > rating -0.616442290 0.0011114966 0.004771647 -0.0000257130
  > logSigma 0.006968089 -0.0005561255 0.001594861 -0.0049447512
  1452,1458c1452,1458
  < (Intercept) -0.176564350 -6.164423e-01 0.0069680893
  < age -0.003932012 1.111497e-03 -0.0005561255
  < yearsmarried 0.003581751 4.771647e-03 0.0015948607
  < religiousness 0.005214883 -2.571303e-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) -0.176564351 -0.616442290 0.0069680894
  > age -0.003932012 0.001111497 -0.0005561255
  > yearsmarried 0.003581751 0.004771647 0.0015948607
  > religiousness 0.005214883 -0.000025713 -0.0049447512
  > occupation 0.064731952 -0.006192755 0.0008925920
  > rating -0.006192755 0.166323611 -0.0068779111
  > logSigma 0.000892592 -0.006877911 0.0045021647
  1461,1467c1461,1467
  < (Intercept) 7.51552372 -0.1196798500 0.089357154 -3.970038e-01 -0.176564350
  < 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 -0.0039320120 0.003581751 5.214883e-03 0.064731952
  < rating -0.61644229 0.0011114966 0.004771647 -2.571303e-05 -0.006192755
  < sigma 0.05746639 -0.0045864114 0.013152944 -4.077976e-02 0.007361278
  ---
  > (Intercept) 7.51552372 -0.1196798498 0.089357154 -0.3970037876 -0.176564351
  > age -0.11967985 0.0062557405 -0.008052616 0.0005380018 -0.003932012
  > yearsmarried 0.08935715 -0.0080526163 0.018095076 -0.0100637228 0.003581751
  > religiousness -0.39700379 0.0005380018 -0.010063723 0.1630153148 0.005214883
  > occupation -0.17656435 -0.0039320120 0.003581751 0.0052148835 0.064731952
  > rating -0.61644229 0.0011114966 0.004771647 -0.0000257130 -0.006192755
  > sigma 0.05746639 -0.0045864114 0.013152944 -0.0407797607 0.007361278
  1469,1475c1469,1475
  < (Intercept) -6.164423e-01 0.057466393
  < age 1.111497e-03 -0.004586411
  < yearsmarried 4.771647e-03 0.013152944
  < religiousness -2.571303e-05 -0.040779761
  < occupation -6.192755e-03 0.007361278
  < rating 1.663236e-01 -0.056722685
  < sigma -5.672269e-02 0.306211731
  ---
  > (Intercept) -0.616442290 0.057466393
  > age 0.001111497 -0.004586411
  > yearsmarried 0.004771647 0.013152944
  > religiousness -0.000025713 -0.040779761
  > occupation -0.006192755 0.007361278
  > rating 0.166323611 -0.056722685
  > sigma -0.056722685 0.306211731
  2206c2206
  < (Intercept) 4516.829753 -71.9275898 53.7036498 -238.59927611 -106.1151745
  ---
  > (Intercept) 4516.829754 -71.9275897 53.7036495 -238.59927637 -106.1151747
  2208,2211c2208,2211
  < yearsmarried 53.703650 -4.8396224 10.8751405 -6.04829741 2.1526325
  < religiousness -238.599276 0.3233391 -6.0482974 97.97220412 3.1341449
  < occupation -106.115174 -2.3631392 2.1526325 3.13414495 38.9039031
  < rating -370.481816 0.6680094 2.8677600 -0.01545353 -3.7218460
  ---
  > 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
  > rating -370.481816 0.6680094 2.8677600 -0.01545351 -3.7218460
  2214c2214
  < (Intercept) -370.48181584 4.1878217
  ---
  > (Intercept) -370.48181623 4.1878217
  2216,2219c2216,2219
  < yearsmarried 2.86776002 0.9585113
  < religiousness -0.01545353 -2.9717955
  < occupation -3.72184603 0.5364478
  < rating 99.96049026 -4.1336246
  ---
  > yearsmarried 2.86776003 0.9585113
  > religiousness -0.01545351 -2.9717955
  > occupation -3.72184601 0.5364478
  > rating 99.96049033 -4.1336246
  2223,2226c2223,2226
  < (Intercept) 9.47367037 -0.1866313717 0.1635733331 -0.418907999
  < age -0.18663137 0.0079058556 -0.0095918570 0.004428060
  < yearsmarried 0.16357333 -0.0095918570 0.0188135429 -0.014683003
  < religiousness -0.41890800 0.0044280596 -0.0146830026 0.159883141
  ---
  > (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
  2228c2228
  < rating -0.66543808 0.0042270111 0.0012457507 -0.011972014
  ---
  > rating -0.66543808 0.0042270111 0.0012457508 -0.011972013
  2231c2231
  < (Intercept) -0.1570291857 -0.6654380775 -0.0408634493
  ---
  > (Intercept) -0.1570291864 -0.6654380786 -0.0408634492
  2233c2233
  < yearsmarried 0.0057844633 0.0012457507 -0.0005738356
  ---
  > yearsmarried 0.0057844633 0.0012457508 -0.0005738356
  2235,2236c2235,2236
  < occupation 0.0605051421 -0.0008286106 0.0005882962
  < rating -0.0008286106 0.1548256730 -0.0003879391
  ---
  > occupation 0.0605051422 -0.0008286106 0.0005882962
  > rating -0.0008286106 0.1548256732 -0.0003879391
  6422,6423c6422,6423
  < yearsmarried -0.21298225 0.16267524 -0.19834702 0.04043479 -0.33417878
  < religiousness 0.25973080 -0.19834702 0.25134871 -0.04918509 0.40954822
  ---
  > yearsmarried -0.21298225 0.16267524 -0.19834701 0.04043479 -0.33417878
  > religiousness 0.25973080 -0.19834701 0.25134871 -0.04918509 0.40954822
  7901c7901
  < -8.726492e-13 -3.496453e-11 -1.306651e-11 -2.647342e-12 -3.597195e-12
  ---
  > -8.804346e-13 -3.521108e-11 -1.313347e-11 -2.669701e-12 -3.627824e-12
  7903c7903
  < -2.940845e-12 3.416954e-12
  ---
  > -2.968025e-12 3.366266e-12
  9230c9230
  < religiousness 0.24868749 -0.19433695 0.24013928 -0.05180838 0.39683238
  ---
  > religiousness 0.24868749 -0.19433695 0.24013928 -0.05180838 0.39683239
  9232c9232
  < rating 0.42736955 -0.33262559 0.39683238 -0.08982951 0.69029275
  ---
  > rating 0.42736955 -0.33262559 0.39683239 -0.08982951 0.69029275
  9313c9313
  < -4.091023e-12 -1.258672e-10 -2.843823e-11 -1.354691e-11 -1.645619e-11
  ---
  > -5.344269e-12 -1.650387e-10 -3.750260e-11 -1.764016e-11 -2.155805e-11
  9315c9315
  < -1.746662e-11 -3.974571e-12
  ---
  > -2.272940e-11 -5.330035e-12
  10643c10643
  < age 0.26898730 -0.20944964 0.24868749 -0.05607105 0.42736955
  ---
  > age 0.26898730 -0.20944964 0.24868749 -0.05607105 0.42736954
  10647c10647
  < rating 0.42736955 -0.33262559 0.39683238 -0.08982951 0.69029275
  ---
  > rating 0.42736954 -0.33262559 0.39683238 -0.08982951 0.69029275
  10715,10730c10715,10730
  < (Intercept) age yearsmarried religiousness
  < (Intercept) 7.515523717 -0.1196798497 0.089357154 -3.970038e-01
  < age -0.119679850 0.0062557405 -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 -0.0039320120 0.003581751 5.214883e-03
  < rating -0.616442290 0.0011114966 0.004771647 -2.571299e-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 -2.571299e-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) 7.51552370 -0.1196798494 0.089357154 -3.970038e-01 -0.176564350
  > age -0.11967985 0.0062557405 -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 -0.0039320120 0.003581751 5.214883e-03 0.064731952
  > rating -0.61644229 0.0011114965 0.004771647 -2.571293e-05 -0.006192755
  > logSigma 0.00696809 -0.0005561255 0.001594861 -4.944751e-03 0.000892592
  > rating logSigma
  > (Intercept) -6.164423e-01 0.0069680895
  > age 1.111497e-03 -0.0005561255
  > yearsmarried 4.771647e-03 0.0015948607
  > religiousness -2.571293e-05 -0.0049447513
  > occupation -6.192755e-03 0.0008925920
  > rating 1.663236e-01 -0.0068779111
  > logSigma -6.877911e-03 0.0045021647
  10733c10733
  < (Intercept) 7.51552372 -0.1196798497 0.089357154 -3.970038e-01 -0.176564351
  ---
  > (Intercept) 7.51552370 -0.1196798494 0.089357154 -3.970038e-01 -0.176564350
  10738c10738
  < rating -0.61644229 0.0011114966 0.004771647 -2.571299e-05 -0.006192755
  ---
  > rating -0.61644229 0.0011114965 0.004771647 -2.571293e-05 -0.006192755
  10741c10741
  < (Intercept) -6.164423e-01 0.057466393
  ---
  > (Intercept) -6.164423e-01 0.057466394
  10744c10744
  < religiousness -2.571299e-05 -0.040779761
  ---
  > religiousness -2.571293e-05 -0.040779761
  10769c10769
  < 3.652023e-12 1.121226e-10 2.528523e-11 1.210180e-11 1.466054e-11
  ---
  > 3.932352e-12 1.208755e-10 2.731102e-11 1.302267e-11 1.581067e-11
  10771c10771
  < 1.561000e-11 -3.546732e-12
  ---
  > 1.679983e-11 -3.828576e-12
  12178,12184c12178,12184
  < (Intercept) 7.515523715 -0.1196798500 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 -0.616442289 0.0011114966 0.004771647 -2.571303e-05
  < logSigma -0.006968089 0.0005561255 -0.001594861 4.944751e-03
  ---
  > (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
  > rating -0.616442290 0.0011114966 0.004771647 -0.0000257130
  > logSigma -0.006968089 0.0005561255 -0.001594861 0.0049447512
  12186,12192c12186,12192
  < (Intercept) -0.176564350 -6.164423e-01 -0.0069680893
  < age -0.003932012 1.111497e-03 0.0005561255
  < yearsmarried 0.003581751 4.771647e-03 -0.0015948607
  < religiousness 0.005214883 -2.571303e-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) -0.176564351 -0.616442290 -0.0069680894
  > age -0.003932012 0.001111497 0.0005561255
  > yearsmarried 0.003581751 0.004771647 -0.0015948607
  > religiousness 0.005214883 -0.000025713 0.0049447512
  > occupation 0.064731952 -0.006192755 -0.0008925920
  > rating -0.006192755 0.166323611 0.0068779111
  > logSigma -0.000892592 0.006877911 0.0045021647
  12195,12201c12195,12201
  < (Intercept) 7.51552372 -0.1196798500 0.089357154 -3.970038e-01 -0.176564350
  < 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 -0.0039320120 0.003581751 5.214883e-03 0.064731952
  < rating -0.61644229 0.0011114966 0.004771647 -2.571303e-05 -0.006192755
  < sigma -0.05746639 0.0045864114 -0.013152944 4.077976e-02 -0.007361278
  ---
  > (Intercept) 7.51552372 -0.1196798498 0.089357154 -0.3970037876 -0.176564351
  > age -0.11967985 0.0062557405 -0.008052616 0.0005380018 -0.003932012
  > yearsmarried 0.08935715 -0.0080526163 0.018095076 -0.0100637228 0.003581751
  > religiousness -0.39700379 0.0005380018 -0.010063723 0.1630153148 0.005214883
  > occupation -0.17656435 -0.0039320120 0.003581751 0.0052148835 0.064731952
  > rating -0.61644229 0.0011114966 0.004771647 -0.0000257130 -0.006192755
  > sigma -0.05746639 0.0045864114 -0.013152944 0.0407797607 -0.007361278
  12203,12209c12203,12209
  < (Intercept) -6.164423e-01 -0.057466393
  < age 1.111497e-03 0.004586411
  < yearsmarried 4.771647e-03 -0.013152944
  < religiousness -2.571303e-05 0.040779761
  < occupation -6.192755e-03 -0.007361278
  < rating 1.663236e-01 0.056722685
  < sigma 5.672269e-02 0.306211731
  ---
  > (Intercept) -0.616442290 -0.057466393
  > age 0.001111497 0.004586411
  > yearsmarried 0.004771647 -0.013152944
  > religiousness -0.000025713 0.040779761
  > occupation -0.006192755 -0.007361278
  > rating 0.166323611 0.056722685
  > sigma 0.056722685 0.306211731
  12834c12834
  < 4.091023e-12 1.258672e-10 2.843823e-11 1.354691e-11 1.645619e-11
  ---
  > 5.344269e-12 1.650387e-10 3.750260e-11 1.764016e-11 2.155805e-11
  12836c12836
  < 1.746662e-11 -3.974571e-12
  ---
  > 2.272940e-11 -5.330035e-12
  14164c14164
  < age 0.26898730 -0.20944964 0.24868749 -0.05607105 0.42736955
  ---
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  14168c14168
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• 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