CRAN Package Check Results for Package pencal

Last updated on 2026-10-24 13:51:58 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.3.1 12.97 111.86 124.83 OK
r-devel-linux-x86_64-debian-gcc 2.3.1 9.67 77.74 87.41 ERROR
r-devel-linux-x86_64-fedora-clang 2.3.1 11.00 96.54 107.54 OK
r-devel-linux-x86_64-fedora-gcc 2.3.1 9.00 79.26 88.26 OK
r-devel-windows-x86_64 2.3.1 18.00 168.00 186.00 OK
r-patched-linux-x86_64 2.3.1 12.69 101.95 114.64 OK
r-release-linux-x86_64 2.3.1 10.42 102.62 113.04 OK
r-release-macos-arm64 2.3.1 3.00 44.00 47.00 OK
r-release-macos-x86_64 2.3.1 9.00 159.00 168.00 OK
r-release-windows-x86_64 2.3.1 15.00 156.00 171.00 OK
r-oldrel-macos-arm64 2.3.1 5.00 ERROR
r-oldrel-macos-x86_64 2.3.1 9.00 131.00 140.00 OK
r-oldrel-windows-x86_64 2.3.1 19.00 196.00 215.00 OK

Check Details

Version: 2.3.1
Check: examples
Result: ERROR Running examples in ‘pencal-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: survplot_prc > ### Title: Visualize survival predictions for a fitted PRC model > ### Aliases: survplot_prc > > ### ** Examples > > # generate example data > simdata = simulate_prclmm_data(n = 100, p = 4, p.relev = 2, + t.values = c(0, 0.2, 0.5, 1, 1.5, 2), + landmark = 2, seed = 123) > > # estimate the PRC-LMM model > y.names = paste('marker', 1:4, sep = '') > step1 = fit_lmms(y.names = y.names, + fixefs = ~ age, ranefs = ~ age | id, + long.data = simdata$long.data, + surv.data = simdata$surv.data, + t.from.base = t.from.base, + n.boots = 0) Sorting long.data by subject id Sorting surv.data by subject id Preliminary step: remove measurements taken after event / censoring. Removed: 0 measurements. Retained: 600 measurements. This computation will be run without parallelization Estimating the LMMs on the original dataset... ...done > step2 = summarize_lmms(object = step1) This computation will be run without parallelization Computing the predicted random effects on the original dataset... ...done > step3 = fit_prclmm(object = step2, surv.data = simdata$surv.data, + baseline.covs = ~ baseline.age, + penalty = 'ridge') Estimating penalized Cox model on the original dataset... 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'. 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'. ...done > > # visualize the predicted survival for subjects 1, 3, 7 and 13 > survplot_prc(step1, step2, step3, ids = c(1, 3, 7, 13), tmax = 6) Error in a$specials[[i]] : subscript out of bounds Calls: survplot_prc ... survfit.coxph -> model.matrix.coxph -> delete.response -> off Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed fit_prclmm 0.287 0.014 6.450 summarize_lmms 0.086 0.002 5.751 Flavor: r-devel-linux-x86_64-debian-gcc

Version: 2.3.1
Check: package dependencies
Result: ERROR Package required but not available: ‘survcomp’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual. Flavor: r-oldrel-macos-arm64