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: 1.0.0
Imports: stats, quantreg, survival, coxrobust, methods, MASS, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat
Published: 2019-07-03
Author: Shana Scogin, Sarah Petersen, Jeff Harden, Bruce A. Desmarais
Maintainer: Shana Scogin <shanarscogin at gmail.com>
License: GPL-3
URL: https://github.com/ShanaScogin/modeLLtest
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README
CRAN checks: modeLLtest results

Downloads:

Reference manual: modeLLtest.pdf
Vignettes: getting_started
Package source: modeLLtest_1.0.0.tar.gz
Windows binaries: r-devel: modeLLtest_1.0.0.zip, r-release: modeLLtest_1.0.0.zip, r-oldrel: modeLLtest_1.0.0.zip
OS X binaries: r-release: modeLLtest_1.0.0.tgz, r-oldrel: modeLLtest_1.0.0.tgz

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