ordinal: Regression Models for Ordinal Data

Implementation of cumulative link (mixed) models also known as ordered regression models, proportional odds models, proportional hazards models for grouped survival times and ordered logit/probit/... models. Estimation is via maximum likelihood and mixed models are fitted with the Laplace approximation and adaptive Gauss-Hermite quadrature. Multiple random effect terms are allowed and they may be nested, crossed or partially nested/crossed. Restrictions of symmetry and equidistance can be imposed on the thresholds (cut-points/intercepts). Standard model methods are available (summary, anova, drop-methods, step, confint, predict etc.) in addition to profile methods and slice methods for visualizing the likelihood function and checking convergence.

AuthorRune Haubo Bojesen Christensen [aut, cre]
Date of publication2015-06-28 16:50:54
MaintainerRune Haubo Bojesen Christensen <rune.haubo@gmail.com>
LicenseGPL (>= 2)
Version2015.6-28

View on CRAN

Man pages

addtermOld: Try all one-term additions to and deletions from a model

anovaOld: Likelihood ratio test of cumulative link models

clm: Cumulative Link Models

clm.control: Set control parameters for cumulative link models

clm.controlOld: Set control parameters for cumulative link models

clm.fit: Fit Cumulative Link Models

clmm: Cumulative Link Mixed Models

clmm.control: Set control parameters for cumulative link mixed models

clmm.controlOld: Set control parameters for cumulative link mixed models

clmmOld: Cumulative link mixed models

clmOld: Cumulative link models

confint.clm: Confidence intervals and profile likelihoods for parameters...

confint.clmmOld: Confidence intervals and profile likelihoods for the standard...

confintOld: Confidence intervals and profile likelihoods for parameters...

convergence.clm: Check convergence of cumulative link models

dropCoef: Ensure Full Rank Design Matrix

gfun: Gradients of common densities

gumbel: The Gumbel Distribution

income: Income distribution (percentages) in the Northeast US

lgamma: The log-gamma distribution

nominal.test: Likelihood ratio tests of model terms in scale and nominal...

ordinal-package: Regression Models for Ordinal Data via Cumulative Link...

predict: Predict Method for CLM fits

predictOld: Predict Method for CLM fits

ranef: Extract conditional modes and conditional variances from clmm...

slice.clm: Slice the likelihood of a clm

soup: Discrimination study of packet soup

updateOld: Update method for cumulative link models

VarCorr: Extract variance and correlation parameters

wine: Bitterness of wine

Files in this package

ordinal
ordinal/inst
ordinal/inst/CITATION
ordinal/inst/doc
ordinal/inst/doc/clm_tutorial.R
ordinal/inst/doc/clmm2_tutorial.Rnw
ordinal/inst/doc/clm_tutorial.pdf
ordinal/inst/doc/clmm2_tutorial.R
ordinal/inst/doc/clm_tutorial.Rnw
ordinal/inst/doc/clmm2_tutorial.pdf
ordinal/inst/doc/clm_intro.R
ordinal/inst/doc/clm_intro.Rnw
ordinal/inst/doc/clm_intro.pdf
ordinal/tests
ordinal/tests/anova.R
ordinal/tests/test.clm.profile.R
ordinal/tests/test.clm.convergence.R
ordinal/tests/testAnova.clm2.R
ordinal/tests/test.clm.model.matrix.R
ordinal/tests/testCLM.R
ordinal/tests/test0weights.R
ordinal/tests/test.clm.Theta.R
ordinal/tests/clmm.R
ordinal/tests/clmm.control.R
ordinal/tests/test.general.R
ordinal/tests/confint.R
ordinal/tests/clm.formula.R
ordinal/tests/nominal.test.R
ordinal/tests/clm.fit.R
ordinal/tests/test.clm.predict.R
ordinal/tests/testthat
ordinal/tests/testthat/test-utils.R
ordinal/tests/testthat/test-contrasts.R
ordinal/tests/testthat/test-clm-profile.R
ordinal/tests/testthat/test-clm.R
ordinal/tests/testthat/test-clm-formula.R
ordinal/tests/testthat/test-misc.R
ordinal/tests/testthat/test-clm-predict.R
ordinal/tests/clmm.formula.R
ordinal/tests/test-all.R
ordinal/src
ordinal/src/links.c
ordinal/src/utilityFuns.c
ordinal/src/get_fitted.c
ordinal/src/links.h
ordinal/NAMESPACE
ordinal/NEWS
ordinal/data
ordinal/data/income.rda
ordinal/data/soup.rda
ordinal/data/wine.rda
ordinal/R
ordinal/R/AO.R ordinal/R/clm.slice2D.R ordinal/R/drop.coef.R ordinal/R/utils.R ordinal/R/gumbel.R ordinal/R/clmm.ssr.R ordinal/R/warning_functions.R ordinal/R/clm.frames.R ordinal/R/clm.predict.R ordinal/R/clm.simple.R ordinal/R/control.R ordinal/R/clmm.start.R ordinal/R/clm.profile.R ordinal/R/clmm.ranef.R ordinal/R/clmm.R ordinal/R/clm.slice.R ordinal/R/clm.methods.R ordinal/R/lgamma.R ordinal/R/clm2.R ordinal/R/clm.nominal_test.R ordinal/R/convergence.R ordinal/R/clm.fitter.R ordinal/R/clm.fit.R ordinal/R/clmm2.R ordinal/R/gdist.R ordinal/R/clm.R ordinal/R/clmm2.utils.R ordinal/R/clm.Thetamat.R ordinal/R/derivatives.R ordinal/R/clm.start.R ordinal/R/clmm.formula.R ordinal/R/clmm.methods.R
ordinal/vignettes
ordinal/vignettes/clmm2_tutorial.Rnw
ordinal/vignettes/clm_tutorial.Rnw
ordinal/vignettes/ordinal.bib
ordinal/vignettes/clm_intro.Rnw
ordinal/MD5
ordinal/build
ordinal/build/vignette.rds
ordinal/DESCRIPTION
ordinal/man
ordinal/man/soup.Rd ordinal/man/clmm.controlOld.Rd ordinal/man/VarCorr.Rd ordinal/man/clmm.control.Rd ordinal/man/wine.Rd ordinal/man/confintOld.Rd ordinal/man/ordinal-package.Rd ordinal/man/dropCoef.Rd ordinal/man/clm.Rd ordinal/man/updateOld.Rd ordinal/man/addtermOld.Rd ordinal/man/ranef.Rd ordinal/man/predictOld.Rd ordinal/man/confint.clmmOld.Rd ordinal/man/clmm.Rd ordinal/man/clmmOld.Rd ordinal/man/anovaOld.Rd ordinal/man/predict.Rd ordinal/man/slice.clm.Rd ordinal/man/gumbel.Rd ordinal/man/lgamma.Rd ordinal/man/convergence.clm.Rd ordinal/man/clm.control.Rd ordinal/man/nominal.test.Rd ordinal/man/gfun.Rd ordinal/man/confint.clm.Rd ordinal/man/clm.fit.Rd ordinal/man/clm.controlOld.Rd ordinal/man/income.Rd ordinal/man/clmOld.Rd
ordinal/LICENCE.note

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