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:
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