mlmodels

Documentation

[{"label":"mlmodels.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/refman/mlmodels.html"},{"label":"mlmodels.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/mlmodels.pdf"},{"label":"Maximum Likelihood Models in R","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-basics.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-basics.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-basics.R"},{"label":"Introduction to Count Data","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-countintro.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-countintro.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-countintro.R"},{"label":"Diagnostic Tools in 'mlmodels'","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-diagnostics.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-diagnostics.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-diagnostics.R"},{"label":"Fractional Response Outcomes","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-fractional.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-fractional.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-fractional.R"},{"label":"Gamma versus Lognormal","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-gamma-lognormal.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-gamma-lognormal.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-gamma-lognormal.R"},{"label":"Predictions with 'mlmodels'","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-predictions.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-predictions.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlmodels/vignettes/mlmodels-predictions.R"}]

Reference manual: mlmodels.html , mlmodels.pdf Vignettes: Maximum Likelihood Models in R ( source , R code ) Introduction to Count Data ( source , R code ) Diagnostic Tools in 'mlmodels' ( source , R code ) Fractional Response Outcomes ( source , R code ) Gamma versus Lognormal ( source , R code ) Predictions with 'mlmodels' ( source , R code ) Variance-Covariance Estimation in 'mlmodels' ( source , R code )

Downloads

[{"label":"mlmodels_0.1.2.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/mlmodels_0.1.2.tar.gz"},{"label":"mlmodels_0.1.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/mlmodels_0.1.2.zip"},{"label":"mlmodels_0.1.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/mlmodels_0.1.2.zip"},{"label":"mlmodels_0.1.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/mlmodels_0.1.2.zip"},{"label":"mlmodels_0.1.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/mlmodels_0.1.2.tgz"},{"label":"mlmodels_0.1.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/mlmodels_0.1.2.tgz"},{"label":"mlmodels_0.1.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/mlmodels_0.1.2.tgz"},{"label":"mlmodels_0.1.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/mlmodels_0.1.2.tgz"}]

Package source: mlmodels_0.1.2.tar.gz Windows binaries: r-devel: mlmodels_0.1.2.zip , r-release: mlmodels_0.1.2.zip , r-oldrel: mlmodels_0.1.2.zip macOS binaries: r-release (arm64): mlmodels_0.1.2.tgz , r-oldrel (arm64): mlmodels_0.1.2.tgz , r-release (x86_64): mlmodels_0.1.2.tgz , r-oldrel (x86_64): mlmodels_0.1.2.tgz

Linking

[{"label":"https://CRAN.R-project.org/package=mlmodels","section":"","type":"","url":"https://CRAN.R-project.org/package=mlmodels"}]

Please use the canonical form https://CRAN.R-project.org/package=mlmodels to link to this page.