The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
Author: Shana Scogin, Sarah Petersen, Jeff Harden, Bruce A. Desmarais
Maintainer: Shana Scogin <shanarscogin at gmail.com>
BugReports: https://github.com/ShanaScogin/modeLLtest/issues
License: GPL-3
URL: https://github.com/ShanaScogin/modeLLtest
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
CRAN checks: modeLLtest results

Documentation:

Reference manual: modeLLtest.pdf
Vignettes: getting_started

Downloads:

Package source: modeLLtest_1.0.4.tar.gz
Windows binaries: r-devel: modeLLtest_1.0.4.zip, r-release: modeLLtest_1.0.4.zip, r-oldrel: modeLLtest_1.0.4.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=modeLLtest to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.