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.
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