CRAN Package Check Results for Package SHAPBoost

Last updated on 2026-10-24 05:51:27 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0.3 17.15 139.46 156.61 OK
r-devel-linux-x86_64-debian-gcc 1.0.3 12.51 94.15 106.66 ERROR
r-devel-linux-x86_64-fedora-clang 1.0.3 12.00 89.03 101.03 OK
r-devel-linux-x86_64-fedora-gcc 1.0.3 11.00 85.97 96.97 OK
r-devel-windows-x86_64 1.0.3 20.00 128.00 148.00 OK
r-patched-linux-x86_64 1.0.3 16.21 131.46 147.67 OK
r-release-linux-x86_64 1.0.3 14.98 126.87 141.85 OK
r-release-macos-arm64 1.0.3 4.00 32.00 36.00 OK
r-release-macos-x86_64 1.0.3 11.00 144.00 155.00 OK
r-release-windows-x86_64 1.0.3 19.00 126.00 145.00 OK
r-oldrel-macos-arm64 1.0.3 4.00 30.00 34.00 OK
r-oldrel-macos-x86_64 1.0.3 11.00 84.00 95.00 OK
r-oldrel-windows-x86_64 1.0.3 26.00 159.00 185.00 OK

Check Details

Version: 1.0.3
Check: examples
Result: ERROR Running examples in ‘SHAPBoost-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: SHAPBoostSurvival-class > ### Title: SHAPBoostSurvival is a reference class for survival analysis > ### feature selection through gradient boosting. > ### Aliases: SHAPBoostSurvival-class SHAPBoostSurvival > > ### ** Examples > > if (requireNamespace("survival", quietly = TRUE)) { + shapboost <- SHAPBoostSurvival$new( + max_number_of_features = 1, + evaluator = "coxph", + metric = "c-index", + verbose = 0, + xgb_params = list( + objective = "survival:cox", + eval_metric = "cox-nloglik" + ) + ) + + X <- as.data.frame(survival::gbsg[, -c(1, 10, 11)]) + y <- as.data.frame(survival::gbsg[, c(10, 11)]) + subset <- shapboost$fit(X, y) + } Iteration:1 Selected variables: Error in a$specials[[i]] : subscript out of bounds Calls: <Anonymous> ... as.data.frame -> predict -> predict.coxph -> delete.response -> off Execution halted Flavor: r-devel-linux-x86_64-debian-gcc