CRAN Package Check Results for Package MXM

Last updated on 2026-10-24 09:50:57 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.5.8 79.04 487.72 566.76 OK
r-devel-linux-x86_64-debian-gcc 1.5.8 48.17 308.78 356.95 ERROR
r-devel-linux-x86_64-fedora-clang 1.5.8 56.00 316.95 372.95 OK
r-devel-linux-x86_64-fedora-gcc 1.5.8 53.00 308.37 361.37 OK
r-devel-windows-x86_64 1.5.8 77.00 507.00 584.00 OK
r-patched-linux-x86_64 1.5.8 77.87 469.30 547.17 OK
r-release-linux-x86_64 1.5.8 77.44 473.34 550.78 OK
r-release-macos-arm64 1.5.8 18.00 98.00 116.00 OK
r-release-macos-x86_64 1.5.8 56.00 351.00 407.00 OK
r-release-windows-x86_64 1.5.8 83.00 495.00 578.00 OK
r-oldrel-macos-arm64 1.5.8 18.00 102.00 120.00 OK
r-oldrel-macos-x86_64 1.5.8 55.00 380.00 435.00 OK
r-oldrel-windows-x86_64 1.5.8 117.00 642.00 759.00 OK

Additional issues

vnu

Check Details

Version: 1.5.8
Check: examples
Result: ERROR Running examples in ‘MXM-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: Conditional independence tests for survival data > ### Title: Conditional independence test for survival data > ### Aliases: censIndCR censIndWR censIndER censIndLLR permCR permWR permER > ### permLLR waldCR waldWR waldER waldLLR > > ### ** Examples > > #create a survival simulated dataset > dataset <- matrix(runif(400 * 20, 1, 100), nrow = 400 , ncol = 20) > dataset <- as.data.frame(dataset); > timeToEvent <- numeric(400) > event <- numeric(400) > ca <- numeric(400) > for(i in 1:400) { + timeToEvent[i] <- dataset[i, 1] + 0.5 * dataset[i, 10] + 2 * dataset[i, 15] + runif(1, 0, 3); + event[i] <- sample( c(0, 1), 1) + ca[i] <- runif(1, 0, timeToEvent[i] - 0.5) + if(event[i] == 0) timeToEvent[i] = timeToEvent[i] - ca[i] + } > > require(survival, quietly = TRUE) > > #init the Surv object class feature > target <- Surv(time = timeToEvent, event = event) > #run the censIndCR conditional independence test > censIndCR( target, dataset, xIndex = 12, csIndex = c(5, 7, 4) ) $pvalue [1] -4.893749 $stat [1] 7.150748 $stat_hash NULL $pvalue_hash NULL > # run the SESC algorithm > ses1 <- SES(target, dataset, max_k = 1, threshold = 0.05, test = "censIndCR"); Error in a$specials[[i]] : subscript out of bounds Calls: SES ... model.matrix -> model.matrix.coxph -> delete.response -> off Execution halted Flavor: r-devel-linux-x86_64-debian-gcc