modeLLtest: Compare Models with Cross-Validated Log-Likelihood

An implementation of the cross-validated difference in means (CVDM) test by Desmarais and Harden (2014) <doi:10.1007/s11135-013-9884-7> (see also Harden and Desmarais, 2011 <doi:10.1177/1532440011408929>) and the cross-validated median fit (CVMF) test by Desmarais and Harden (2012) <doi:10.1093/pan/mpr042>. These tests use leave-one-out cross-validated log-likelihoods to assist in selecting among model estimations. You can also utilize data from Golder (2010) <doi:10.1177/0010414009341714> and Joshi & Mason (2008) <doi:10.1177/0022343308096155> that are included to facilitate examples from real-world analysis.

Version: 1.0.4
Depends: R (≥ 3.2.3)
Imports: stats, quantreg, survival, coxrobust, MASS, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat
Published: 2022-05-05
DOI: 10.32614/CRAN.package.modeLLtest
Author: Shana Scogin, Sarah Petersen, Jeff Harden, Bruce A. Desmarais
Maintainer: Shana Scogin <shanarscogin at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
CRAN checks: modeLLtest results


Reference manual: modeLLtest.pdf
Vignettes: getting_started


Package source: modeLLtest_1.0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): modeLLtest_1.0.4.tgz, r-oldrel (arm64): modeLLtest_1.0.4.tgz, r-release (x86_64): modeLLtest_1.0.4.tgz, r-oldrel (x86_64): modeLLtest_1.0.4.tgz
Old sources: modeLLtest archive


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