Package: modeLLtest 1.0.5
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.
Authors:
modeLLtest_1.0.5.tar.gz
modeLLtest_1.0.5.zip(r-4.7)modeLLtest_1.0.5.zip(r-4.6)modeLLtest_1.0.5.zip(r-4.5)
modeLLtest_1.0.5.tgz(r-4.6-x86_64)modeLLtest_1.0.5.tgz(r-4.6-arm64)modeLLtest_1.0.5.tgz(r-4.5-x86_64)modeLLtest_1.0.5.tgz(r-4.5-arm64)
modeLLtest_1.0.5.tar.gz(r-4.7-arm64)modeLLtest_1.0.5.tar.gz(r-4.7-x86_64)modeLLtest_1.0.5.tar.gz(r-4.6-arm64)modeLLtest_1.0.5.tar.gz(r-4.6-x86_64)
modeLLtest_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
modeLLtest/json (API)
| # Install 'modeLLtest' in R: |
| install.packages('modeLLtest', repos = c('https://shanascogin.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/shanascogin/modelltest/issues
Last updated from:53f2ee3513. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 173 | ||
| linux-devel-x86_64 | OK | 214 | ||
| source / vignettes | OK | 242 | ||
| linux-release-arm64 | OK | 175 | ||
| linux-release-x86_64 | OK | 216 | ||
| macos-release-arm64 | OK | 134 | ||
| macos-release-x86_64 | OK | 399 | ||
| macos-oldrel-arm64 | OK | 146 | ||
| macos-oldrel-x86_64 | OK | 340 | ||
| windows-devel | OK | 222 | ||
| windows-release | OK | 165 | ||
| windows-oldrel | OK | 153 | ||
| wasm-release | OK | 140 |
Dependencies:coxrobustlatticeMASSMatrixMatrixModelsquantregRcppRcppArmadilloSparseMsurvival
