Package: modeLLtest 1.0.4
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_1.0.4.tar.gz
modeLLtest_1.0.4.zip(r-4.5)modeLLtest_1.0.4.zip(r-4.4)modeLLtest_1.0.4.zip(r-4.3)
modeLLtest_1.0.4.tgz(r-4.4-x86_64)modeLLtest_1.0.4.tgz(r-4.4-arm64)modeLLtest_1.0.4.tgz(r-4.3-x86_64)modeLLtest_1.0.4.tgz(r-4.3-arm64)
modeLLtest_1.0.4.tar.gz(r-4.5-noble)modeLLtest_1.0.4.tar.gz(r-4.4-noble)
modeLLtest_1.0.4.tgz(r-4.4-emscripten)modeLLtest_1.0.4.tgz(r-4.3-emscripten)
modeLLtest.pdf |modeLLtest.html✨
modeLLtest/json (API)
NEWS
| # 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 3 years agofrom:7a749e6df5. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 03 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 03 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 03 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 03 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 03 2024 |
| R-4.3-win-x86_64 | NOTE | Nov 03 2024 |
| R-4.3-mac-x86_64 | NOTE | Nov 03 2024 |
| R-4.3-mac-aarch64 | NOTE | Nov 03 2024 |
Dependencies:coxrobustlatticeMASSMatrixMatrixModelsquantregRcppRcppArmadilloSparseMsurvival
