Last updated on 2026-05-12 12:54:58 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 | 13.01 | 138.06 | 151.07 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 6.2.0 | 30.00 | 341.09 | 371.09 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 6.2.0 | 31.00 | 352.53 | 383.53 | OK | |
| r-devel-windows-x86_64 | 6.1.0 | 24.00 | 210.00 | 234.00 | 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 | 6.2.0 | 5.00 | 85.00 | 90.00 | OK | |
| r-release-macos-x86_64 | 6.2.0 | 15.00 | 270.00 | 285.00 | OK | |
| r-release-windows-x86_64 | 6.1.0 | 24.00 | 202.00 | 226.00 | ERROR | |
| r-oldrel-macos-arm64 | 6.2.0 | 5.00 | 61.00 | 66.00 | OK | |
| r-oldrel-macos-x86_64 | 6.2.0 | 15.00 | 250.00 | 265.00 | OK | |
| r-oldrel-windows-x86_64 | 6.1.0 | 31.00 | 272.00 | 303.00 | ERROR |
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
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-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