CRAN Package Check Results for Maintainer Nan Xiao <me at nanx.me>

CRAN Package Check Results for Maintainer ‘Nan Xiao <me at nanx.me>’

Last updated on 2026-05-05 15:52:14 CEST.

Package	ERROR	OK
enpls		13
ggsci		13
grex		13
gsDesignTune		13
hdnom	4	9
liftr		13
msaenet		13
OHPL		13
oneclust		13
pkgdown.offline		13
protr		13
RECA		13
ssw		13
stackgbm		13

Package enpls

Current CRAN status: OK: 13

Package ggsci

Current CRAN status: OK: 13

Package grex

Current CRAN status: OK: 13

Package gsDesignTune

Current CRAN status: OK: 13

Package hdnom

Current CRAN status: ERROR: 4, OK: 9

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 6.38 0.13 8.071 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 4.747 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

Package liftr

Current CRAN status: OK: 13

Package msaenet

Current CRAN status: OK: 13

Package OHPL

Current CRAN status: OK: 13

Package oneclust

Current CRAN status: OK: 13

Package pkgdown.offline

Current CRAN status: OK: 13

Package protr

Current CRAN status: OK: 13

Package RECA

Current CRAN status: OK: 13

Package ssw

Current CRAN status: OK: 13

Package stackgbm

Current CRAN status: OK: 13