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:Shana Scogin <[email protected]>, Sarah Petersen <[email protected]>, Jeff Harden <[email protected]>, Bruce A. Desmarais <[email protected]>

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Bug tracker:https://github.com/shanascogin/modelltest/issues

On CRAN:

4 exports 10 stars 1.53 score 10 dependencies 15 scripts 278 downloads

Last updated 2 years agofrom:7a749e6df5. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:cvdmcvllcvlldiffcvmf

Dependencies:coxrobustlatticeMASSMatrixMatrixModelsquantregRcppRcppArmadilloSparseMsurvival