CRAN Package Check Results for Package hdnom

Last updated on 2026-05-10 05:49:01 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 6.1.0 18.87 205.24 224.11 ERROR
r-devel-linux-x86_64-debian-gcc 6.1.0 13.03 140.44 153.47 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 27.00 352.43 379.43 ERROR
r-devel-windows-x86_64 6.1.0 25.00 208.00 233.00 ERROR
r-patched-linux-x86_64 6.1.0 18.04 194.71 212.75 ERROR
r-release-linux-x86_64 6.1.0 17.98 194.24 212.22 ERROR
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 23.00 206.00 229.00 ERROR
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 33.00 274.00 307.00 ERROR

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 6.265 0.182 8.1 Flavor: r-devel-linux-x86_64-debian-clang

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 4.614 0.114 5.694 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 Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64

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 6.719 0.055 7.948 compare_by_validate 3.856 0.069 5.254 Flavor: r-patched-linux-x86_64

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 6.434 0.054 7.425 calibrate 3.951 0.212 5.799 Flavor: r-release-linux-x86_64