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