CRAN Package Check Results for Package movieROC

Last updated on 2026-09-05 01:50:08 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.2 14.88 136.82 151.70 OK
r-devel-linux-x86_64-debian-gcc 0.1.2 13.18 94.52 107.70 ERROR
r-devel-linux-x86_64-fedora-clang 0.1.2 12.00 98.20 110.20 OK
r-devel-linux-x86_64-fedora-gcc 0.1.2 12.00 96.59 108.59 OK
r-devel-windows-x86_64 0.1.2 20.00 146.00 166.00 OK
r-patched-linux-x86_64 0.1.2 17.66 132.09 149.75 OK
r-release-linux-x86_64 0.1.2 16.83 133.71 150.54 OK
r-release-macos-arm64 0.1.2 4.00 36.00 40.00 OK
r-release-macos-x86_64 0.1.2 12.00 137.00 149.00 OK
r-release-windows-x86_64 0.1.2 19.00 141.00 160.00 OK
r-oldrel-macos-arm64 0.1.2 OK
r-oldrel-macos-x86_64 0.1.2 11.00 136.00 147.00 OK
r-oldrel-windows-x86_64 0.1.2 28.00 178.00 206.00 OK

Check Details

Version: 0.1.2
Check: examples
Result: ERROR Running examples in ‘movieROC-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: multiROC > ### Title: Build a ROC curve for a multivariate marker with dimension p > ### Aliases: multiROC multiROC.default > > ### ** Examples > > data(HCC) > > # ROC curve for genes 20202438 and 18384097 (p=2) to identify tumor by 4 different methods: > X <- cbind(HCC$cg20202438, HCC$cg18384097); D <- HCC$tumor > ## 1. Linear combinations with fixed parameters by Pepe and Thompson (2000) > multiROC(X, D, method = "fixedLinear", methodLinear = "PepeThompson") Data was encoded with nontumor (controls) and tumor (cases). There are 62 controls and 62 cases. A total of 2 variables have been considered. A linear combination with fixed parameters estimated by PepeThompson approach has been considered. The specificity and sensitivity reported by the Youden index are 0.871 and 0.548, respectively, corresponding to the cut-off point 0.358 for the transformation h(X) = - 0.51*X.1 + 1*X.2. The area under the ROC curve (AUC) is 0.697. > ## 2.Linear combinations with dynamic parameters by Meisner et al. (2021) > ## 3. Logistic regression model with quadratic formula by default > multiROC(X, D) Error in as.data.frame.default(data) : cannot coerce class ‘"formula"’ to a data.frame Calls: multiROC ... model.frame.default -> as.data.frame -> as.data.frame.default Execution halted Flavor: r-devel-linux-x86_64-debian-gcc