Package: modeLLtest 1.0.6

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 [aut, cre], Sarah Petersen [aut], Jeff Harden [aut], Bruce A. Desmarais [aut]

modeLLtest_1.0.6.tar.gz
modeLLtest_1.0.6.zip(r-4.7-x86_64)modeLLtest_1.0.6.zip(r-4.7-arm64)modeLLtest_1.0.6.zip(r-4.6-x86_64)modeLLtest_1.0.6.zip(r-4.6-arm64)modeLLtest_1.0.6.zip(r-4.5-x86_64)
modeLLtest_1.0.6.tgz(r-4.6-x86_64)modeLLtest_1.0.6.tgz(r-4.6-arm64)modeLLtest_1.0.6.tgz(r-4.5-x86_64)modeLLtest_1.0.6.tgz(r-4.5-arm64)
modeLLtest_1.0.6.tar.gz(r-4.7-arm64)modeLLtest_1.0.6.tar.gz(r-4.7-x86_64)modeLLtest_1.0.6.tar.gz(r-4.6-arm64)modeLLtest_1.0.6.tar.gz(r-4.6-x86_64)
modeLLtest_1.0.6.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

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

govtform - Data from Golder (2010) on government formation in Western Europe
nepaldem - Data from Joshi and Mason (2008) on voter turnout in Nepal

On CRAN:

openblas cpp

5.23 score 9 stars 19 scripts 314 downloads 4 exports 10 dependencies

Last updated from:4dd240565e. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	200
linux-devel-x86_64	OK	192
source / vignettes	OK	240
linux-release-arm64	OK	172
linux-release-x86_64	OK	186
macos-release-arm64	OK	140
macos-release-x86_64	OK	392
macos-oldrel-arm64	OK	128
macos-oldrel-x86_64	OK	293
windows-devel-arm64	OK	393
windows-devel-x86_64	OK	178
windows-release-arm64	OK	366
windows-release-x86_64	OK	154
windows-oldrel-x86_64	OK	155
wasm-release	OK	132

Exports:cvdm cvll cvlldiff cvmf

Dependencies:coxrobust lattice MASS Matrix MatrixModels quantreg Rcpp RcppArmadillo SparseM survival

Getting Started with ModeLLtest

Rendered fromgetting_started.Rmdusingknitr::rmarkdown

Last update: 2020-06-20
Started: 2018-05-22

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Cross-Validated Difference in Means (CVDM) Test	cvdm
Cross-Validated Difference in Means (CVDM) Object	cvdm_object
Cross-Validated Log Likelihood (CVLL)	cvll
Cross-Validated Log-Likelihood (CVLL) Object	cvll_object
Cross-Validated Difference in Means (CVDM) Test with Vector Imputs	cvlldiff
Cross-Validated Difference in Means (CVDM) Object from General 'cvlldiff' Function	cvlldiff_object
Cross-Validated Median Fit (CVMF) Test	cvmf
Cross-Validated Median Fit (CVMF) Object	cvmf_object
Data from Golder (2010) on government formation in Western Europe	govtform
modeLLtest Overview	modeLLtest
Data from Joshi and Mason (2008) on voter turnout in Nepal	nepaldem
Summarizing modeLLtest Results	print.summary.cvdm print.summary.cvll print.summary.cvlldiff print.summary.cvmf summary.cvdm summary.cvll summary.cvlldiff summary.cvmf summary.modeLLtest