* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’ * installing *source* package ‘distributional’ ... ** package ‘distributional’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices converting help for package ‘distributional’ finding HTML links ... done cdf html covariance html covariance.distribution html density.distribution html dist_bernoulli html dist_beta html dist_binomial html dist_burr html dist_categorical html dist_cauchy html dist_chisq html dist_degenerate html dist_exponential html dist_f html dist_gamma html dist_geometric html dist_gev html dist_gh html dist_gk html dist_gpd html dist_gumbel html dist_hypergeometric html dist_inflated html dist_inverse_exponential html dist_inverse_gamma html dist_inverse_gaussian html dist_logarithmic html dist_logistic html dist_lognormal html dist_missing html dist_mixture html dist_multinomial html dist_multivariate_normal html dist_negative_binomial html dist_normal html dist_pareto html dist_percentile html dist_poisson html dist_poisson_inverse_gaussian html dist_sample html dist_student_t html dist_studentized_range html dist_transformed html dist_truncated html dist_uniform html dist_weibull html dist_wrap html distributional-package html family.distribution html generate.distribution html hdr html hdr.distribution html hilo html hilo.distribution html is-distribution html is_hdr html is_hilo html kurtosis html likelihood html mean.distribution html median.distribution html new_dist html new_hdr html new_hilo html new_support_region html parameters html quantile.distribution html reexports html skewness html support html variance html variance.distribution html *** copying figures ** building package indices ** 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 (distributional)