The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Last updated on 2026-05-05 11:52:06 CEST.
| Package | ERROR | OK |
|---|---|---|
| enpls | 13 | |
| ggsci | 13 | |
| grex | 13 | |
| gsDesignTune | 13 | |
| hdnom | 3 | 10 |
| liftr | 13 | |
| msaenet | 13 | |
| OHPL | 13 | |
| oneclust | 13 | |
| pkgdown.offline | 13 | |
| protr | 13 | |
| RECA | 13 | |
| ssw | 13 | |
| stackgbm | 13 |
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: ERROR: 3, OK: 10
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
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.