R version 4.5.0 alpha (2025-03-23 r88038 ucrt)
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Platform: x86_64-w64-mingw32/x64

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> library(testthat)
> library(clustord)
> 
> test_check("clustord")
Randomly generated start #1
Found better incomplete log-like: -165.638864434728 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -160.786257583815 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Using the output of intermediate model as initial values for full model
=== End of intermediate rowcluster-column model fitting ===
Found better incomplete log-like: -159.93449183867 
Randomly generated start #1
Found better incomplete log-like: -159.129336693057 
Randomly generated start #1
Found better incomplete log-like: -165.319874738513 
Randomly generated start #1
Found better incomplete log-like: -165.341259069142 
Randomly generated start #1
Found better incomplete log-like: -164.775590537575 
Randomly generated start #1
Found better incomplete log-like: -165.737692817017 
Randomly generated start #1
Found better incomplete log-like: -164.644925405492 
Randomly generated start #1
Found better incomplete log-like: -165.567529076965 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -165.287142363257 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -165.294839812249 
Randomly generated start #1
Found better incomplete log-like: -165.343351336709 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -160.88890644892 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Using the output of intermediate model as initial values for full model
=== End of intermediate rowcluster-column model fitting ===
Found better incomplete log-like: -160.271658381965 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Using the output of intermediate model as initial values for full model
=== End of intermediate rowcluster-column model fitting ===
Found better incomplete log-like: -159.262923478703 
Randomly generated start #1
Found better incomplete log-like: -166.352876604433 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -160.480539975119 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Using the output of intermediate model as initial values for full model
=== End of intermediate rowcluster-column model fitting ===
Found better incomplete log-like: -160.369731432424 
Randomly generated start #1
Found better incomplete log-like: -160.508283448778 
Randomly generated start #1
Found better incomplete log-like: -166.021062096903 
Randomly generated start #1
Found better incomplete log-like: -165.839422316723 
Randomly generated start #1
Found better incomplete log-like: -165.204639530055 
Randomly generated start #1
Found better incomplete log-like: -166.365319353807 
Randomly generated start #1
Found better incomplete log-like: -165.899830742017 
Randomly generated start #1
Found better incomplete log-like: -166.07939309035 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -165.727726038434 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -166.03142082686 
Randomly generated start #1
Found better incomplete log-like: -166.352876604433 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -160.50696704132 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Using the output of intermediate model as initial values for full model
=== End of intermediate rowcluster-column model fitting ===
Found better incomplete log-like: -160.380962799783 
Randomly generated start #1
Found better incomplete log-like: -104.302364804353 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -102.794302567864 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Using the output of intermediate model as initial values for full model
=== End of intermediate rowcluster-column model fitting ===
Found better incomplete log-like: -102.609377390663 
Randomly generated start #1
Found better incomplete log-like: -102.415860886358 
Randomly generated start #1
Found better incomplete log-like: -103.008961028804 
Randomly generated start #1
Found better incomplete log-like: -103.067233910992 
Randomly generated start #1
Found better incomplete log-like: -103.051281059367 
Randomly generated start #1
Found better incomplete log-like: -102.125760408587 
Randomly generated start #1
Found better incomplete log-like: -103.598889802648 
Randomly generated start #1
Found better incomplete log-like: -103.234186048537 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -103.074684655858 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -102.627665587113 
Randomly generated start #1
Found better incomplete log-like: -103.635612801656 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -102.64220489554 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Using the output of intermediate model as initial values for full model
=== End of intermediate rowcluster-column model fitting ===
Found better incomplete log-like: -102.575865995315 
Randomly generated start #1
Found better incomplete log-like: -164.498108380189 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -161.699398789006 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Using the output of intermediate model as initial values for full model
=== End of intermediate rowcluster-column model fitting ===
Found better incomplete log-like: -163.491401927938 
Randomly generated start #1
Found better incomplete log-like: -163.57303755072 
Randomly generated start #1
Found better incomplete log-like: -165.043470570491 
Randomly generated start #1
Found better incomplete log-like: -165.66550106879 
Randomly generated start #1
Found better incomplete log-like: -164.261478622761 
Randomly generated start #1
Found better incomplete log-like: -165.891906678835 
Randomly generated start #1
Found better incomplete log-like: -166.070143282873 
Randomly generated start #1
Found better incomplete log-like: -164.436110811922 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -164.419753354454 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -161.725066149364 
Randomly generated start #1
Found better incomplete log-like: -165.958139158211 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -163.857604373657 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Using the output of intermediate model as initial values for full model
=== End of intermediate rowcluster-column model fitting ===
Found better incomplete log-like: -163.505657639289 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Using the output of intermediate model as initial values for full model
=== End of intermediate rowcluster-column model fitting ===
Found better incomplete log-like: -162.272630881548 
Randomly generated start #1
Found better incomplete log-like: -165.529540354389 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -162.230053057333 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Using the output of intermediate model as initial values for full model
=== End of intermediate rowcluster-column model fitting ===
Found better incomplete log-like: -161.940481676566 
Randomly generated start #1
Found better incomplete log-like: -162.561710558206 
Randomly generated start #1
Found better incomplete log-like: -164.754427786904 
Randomly generated start #1
Found better incomplete log-like: -165.447193059122 
Randomly generated start #1
Found better incomplete log-like: -163.834289109172 
Randomly generated start #1
Found better incomplete log-like: -166.002966643657 
Randomly generated start #1
Found better incomplete log-like: -165.646230378128 
Randomly generated start #1
Found better incomplete log-like: -164.550017612092 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -165.434084743168 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -160.933915937529 
Randomly generated start #1
Found better incomplete log-like: -165.823895328576 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -162.505580607702 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Using the output of intermediate model as initial values for full model
=== End of intermediate rowcluster-column model fitting ===
Found better incomplete log-like: -161.909441512216 
Randomly generated start #1
Found better incomplete log-like: -104.685723401794 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -101.316543305065 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Using the output of intermediate model as initial values for full model
=== End of intermediate rowcluster-column model fitting ===
Found better incomplete log-like: -101.068597526731 
Randomly generated start #1
Found better incomplete log-like: -101.11975739779 
Randomly generated start #1
Found better incomplete log-like: -103.745843132568 
Randomly generated start #1
Found better incomplete log-like: -103.683152706232 
Randomly generated start #1
Found better incomplete log-like: -103.660930944972 
Randomly generated start #1
Found better incomplete log-like: -103.588001791597 
Randomly generated start #1
Found better incomplete log-like: -103.7186271841 
Randomly generated start #1
Found better incomplete log-like: -103.672768486846 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -103.536716871913 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -103.340181943073 
Randomly generated start #1
Found better incomplete log-like: -103.721689408054 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Found better incomplete log-like: -101.084869614405 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Using the output of intermediate model as initial values for full model
=== End of intermediate rowcluster-column model fitting ===
Found better incomplete log-like: -101.068597526731 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -41.2562046197227 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Using the output of biclustering model without interaction as initial values for biclustering model with interaction
=== End of column-cluster-only model fitting ===
Found better incomplete log-like: -35.073606138859 
Randomly generated start #1
Found better incomplete log-like: -84.6757334975566 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -42.9757733552443 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -39.651486248395 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -97.1546381422255 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -91.0201076867695 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -122.082464411892 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -34.6009087621208 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -70.1112885386164 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -98.630791560285 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -76.1710297192843 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -71.4506922691907 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -46.5736095897472 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -39.5834307660711 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Using the output of biclustering model without interaction as initial values for biclustering model with interaction
=== End of column-cluster-only model fitting ===
Found better incomplete log-like: -28.3703523455246 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Using the output of biclustering model without interaction as initial values for biclustering model with interaction
=== End of column-cluster-only model fitting ===
Found better incomplete log-like: -28.109135365334 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -54.0718450572419 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Using the output of biclustering model without interaction as initial values for biclustering model with interaction
=== End of column-cluster-only model fitting ===
Found better incomplete log-like: -38.7938533676296 
Randomly generated start #1
Found better incomplete log-like: -145.97796668646 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -119.726802628074 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -132.222540864566 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -101.861276180421 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -120.1574183586 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -132.171170634405 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -132.10509762752 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -113.613696609974 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -119.726802713144 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -126.399656548779 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -126.675224494149 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -119.650531095407 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -54.4517265066737 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Using the output of biclustering model without interaction as initial values for biclustering model with interaction
=== End of column-cluster-only model fitting ===
Found better incomplete log-like: -38.9000040610727 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -62.1517404156249 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Using the output of biclustering model without interaction as initial values for biclustering model with interaction
=== End of column-cluster-only model fitting ===
Found better incomplete log-like: -27.8801656629078 
Randomly generated start #1
Found better incomplete log-like: -67.7517922913162 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -66.6222275905618 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -60.7780000158044 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -61.3421078736756 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -63.1866190273931 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -67.7702733388971 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -59.8561915455543 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -63.0989239454382 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -68.0453011225587 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -60.7551030433252 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -63.1572435187041 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -63.1702405902442 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Found better incomplete log-like: -65.2477655843422 
Randomly generated start #1
Using the output of simpler model as initial values for full model
=== End of initial row-cluster-only model fitting ===
Fitting column-cluster-only model (as row-cluster-only model applied to y with ROW and COL switched), to find starting values for colc_coef and kappa_v
=== End of initial column-cluster-only model fitting ===
Using the output of biclustering model without interaction as initial values for biclustering model with interaction
=== End of column-cluster-only model fitting ===
Found better incomplete log-like: -26.3559919588367 
[ FAIL 0 | WARN 5 | SKIP 0 | PASS 608 ]

[ FAIL 0 | WARN 5 | SKIP 0 | PASS 608 ]
> 
> proc.time()
   user  system elapsed 
  46.48    0.42   46.89