CRAN Package Check Results for Package hdnom

Last updated on 2026-05-05 03:50:03 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 6.1.0 16.69 192.24 208.93 OK
r-devel-linux-x86_64-debian-gcc 6.1.0 13.37 142.91 156.28 ERROR
r-devel-linux-x86_64-fedora-clang 6.1.0 32.00 342.47 374.47 ERROR
r-devel-linux-x86_64-fedora-gcc 6.1.0 33.00 OK
r-devel-windows-x86_64 6.1.0 23.00 200.00 223.00 OK
r-patched-linux-x86_64 6.1.0 18.49 175.09 193.58 OK
r-release-linux-x86_64 6.1.0 17.18 175.27 192.45 OK
r-release-macos-arm64 6.1.0 5.00 53.00 58.00 OK
r-release-macos-x86_64 6.1.0 14.00 204.00 218.00 OK
r-release-windows-x86_64 6.1.0 25.00 198.00 223.00 OK
r-oldrel-macos-arm64 6.1.0 OK
r-oldrel-macos-x86_64 6.1.0 12.00 159.00 171.00 OK
r-oldrel-windows-x86_64 6.1.0 31.00 264.00 295.00 OK

Check Details

Version: 6.1.0
Check: examples
Result: ERROR Running examples in ‘hdnom-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: predict.hdnom.model > ### Title: Make predictions from high-dimensional Cox models > ### Aliases: predict.hdnom.model > > ### ** Examples > > data("smart") > x <- as.matrix(smart[, -c(1, 2)]) > time <- smart$TEVENT > event <- smart$EVENT > y <- survival::Surv(time, event) > > fit <- fit_lasso(x, y, nfolds = 5, rule = "lambda.1se", seed = 11) Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'. Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'. Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'. Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'. Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'. Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'. Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'. Error in fit_lasso(x, y, nfolds = 5, rule = "lambda.1se", seed = 11) : Null model produced by the full fit (all coefficients are zero). Please try to tune rule, seed, nfolds, or increase sample size. Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed compare_by_calibrate 4.747 0.125 5.757 Flavor: r-devel-linux-x86_64-debian-gcc

Version: 6.1.0
Check: examples
Result: ERROR Running examples in ‘hdnom-Ex.R’ failed The error most likely occurred in: > ### Name: predict.hdnom.model > ### Title: Make predictions from high-dimensional Cox models > ### Aliases: predict.hdnom.model > > ### ** Examples > > data("smart") > x <- as.matrix(smart[, -c(1, 2)]) > time <- smart$TEVENT > event <- smart$EVENT > y <- survival::Surv(time, event) > > fit <- fit_lasso(x, y, nfolds = 5, rule = "lambda.1se", seed = 11) Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'. Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'. Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'. Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'. Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'. Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'. Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'. Error in fit_lasso(x, y, nfolds = 5, rule = "lambda.1se", seed = 11) : Null model produced by the full fit (all coefficients are zero). Please try to tune rule, seed, nfolds, or increase sample size. Execution halted Flavor: r-devel-linux-x86_64-fedora-clang