CRAN Package Check Results for Package MultiPhen

Last updated on 2026-09-05 02:53:11 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.0.4 17.80 132.34 150.14 OK
r-devel-linux-x86_64-debian-gcc 2.0.4 14.05 90.44 104.49 ERROR
r-devel-linux-x86_64-fedora-clang 2.0.4 14.00 91.73 105.73 OK
r-devel-linux-x86_64-fedora-gcc 2.0.4 13.00 81.03 94.03 OK
r-devel-windows-x86_64 2.0.4 18.00 132.00 150.00 OK
r-patched-linux-x86_64 2.0.4 17.59 119.68 137.27 OK
r-release-linux-x86_64 2.0.4 18.40 119.59 137.99 OK
r-release-macos-arm64 2.0.4 4.00 30.00 34.00 OK
r-release-macos-x86_64 2.0.4 12.00 123.00 135.00 OK
r-release-windows-x86_64 2.0.4 19.00 122.00 141.00 OK
r-oldrel-macos-arm64 2.0.4 4.00 29.00 33.00 OK
r-oldrel-macos-x86_64 2.0.4 12.00 105.00 117.00 OK
r-oldrel-windows-x86_64 2.0.4 26.00 164.00 190.00 OK

Check Details

Version: 2.0.4
Check: examples
Result: ERROR Running examples in ‘MultiPhen-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: mPhen > ### Title: A function for the genetic association testing of multiple > ### phenotypes > ### Aliases: mPhen > ### Keywords: genetics GWAS regression multiple phenotypes association > > ### ** Examples > > data(snps); data(snps.imputed); data(pheno) > opts = mPhen.options(c("regression","pheno.input")) > res = mPhen(snps, pheno, phenotypes = "all", + covariates = c('testPheno3', 'testPheno4'),opts = opts) [1] "excluding 0 samples based on exclusion criteria" > # performs a MultiPhen analysis, with snp as outcome, > # and phenotypes testPheno1, testPheno2 as predictors, > #with testPheno3 and testPheno4 as covariates using ordinal regression > > res = mPhen(snps, pheno, phenotypes = c('testPheno1', 'testPheno2'), + covariates = c('testPheno3', 'testPheno4'), resids = 'testPheno5', opts = opts) [1] "excluding 0 samples based on exclusion criteria" > # the same as above, with the fifth phenotype as residual > > res = mPhen(snps[,2, drop = FALSE], pheno, phenotypes = c('testPheno1', 'testPheno2'), + covariates = 'testPheno3', opts = opts) [1] "excluding 0 samples based on exclusion criteria" > # please note the use use of drop = FALSE if analysing only one SNP > > > res = mPhen(snps.imputed, pheno, phenotypes = c('testPheno1', 'testPheno2'), + covariates = 'testPheno3', opts = opts) [1] "excluding 0 samples based on exclusion criteria" Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred NULL [1] "polr failed, using Gaussian" Error in eval(mf, parent.frame()) : object 'string' not found Calls: mPhen ... <Anonymous> -> model.frame.default -> is.data.frame Execution halted Flavor: r-devel-linux-x86_64-debian-gcc