* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘nestedcv’ ...
** this is package ‘nestedcv’ version ‘0.8.0’
** package ‘nestedcv’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
converting help for package ‘nestedcv’
finding HTML links ... done
barplot_var_stability html
boot_filter html
boot_ttest html
boruta_filter html
boxplot_expression html
class_balance html
coef.cva.glmnet html
coef.nestcv.glmnet html
collinear html
combo_filter html
correls2 html
cv_coef html
cv_varImp html
cva.glmnet html
glmnet_coefs html
glmnet_filter html
innercv_preds html
innercv_roc html
innercv_summary html
lines.prc html
lm_filter html
mcc html
metrics html
model.hsstan html
nestcv.SuperLearner html
nestcv.glmnet html
nestcv.train html
one_hot html
outercv html
plot.cva.glmnet html
plot.prc html
plot_alphas html
plot_caret html
plot_lambdas html
plot_shap_bar html
plot_shap_beeswarm html
plot_varImp html
plot_var_ranks html
plot_var_stability html
pls_filter html
prc html
predSummary html
pred_nestcv_glmnet html
predict.cva.glmnet html
predict.hsstan html
predict.nestcv.glmnet html
randomsample html
ranger_filter html
relieff_filter html
repeatcv html
repeatfolds html
rf_filter html
slim html
smote html
stat_filter html
summary_vars html
supervisedPCA html
train_preds html
train_roc html
train_summary html
ttest_filter html
txtProgressBar2 html
var_direction html
var_stability html
weight html
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (nestedcv)