ordinal v2019.12-10
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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.
Functions in ordinal
Name | Description | |
clmm2 | Cumulative link mixed models | |
confint | Confidence intervals and profile likelihoods for parameters in cumulative link models | |
soup | Discrimination study of packet soup | |
clmm2.control | Set control parameters for cumulative link mixed models | |
clmm.control | Set control parameters for cumulative link mixed models | |
update.clm2 | Update method for cumulative link models | |
nominal_test | Likelihood ratio tests of model terms in scale and nominal formulae | |
confint.clm2 | Confidence intervals and profile likelihoods for parameters in cumulative link models | |
ordinal-package | Regression Models for Ordinal Data via Cumulative Link (Mixed) Models | |
gumbel | The Gumbel Distribution | |
gfun | Gradients of common densities | |
profile.clmm2 | Confidence intervals and profile likelihoods for the standard deviation for the random term in cumulative link mixed models | |
income | Income distribution (percentages) in the Northeast US | |
addterm.clm2 | Try all one-term additions to and deletions from a model | |
lgamma | The log-gamma distribution | |
predict.clm | Predict Method for CLM fits | |
predict.clm2 | Predict Method for CLM fits | |
wine | Bitterness of wine | |
slice | Slice the likelihood of a clm | |
convergence | Check convergence of cumulative link models | |
drop.coef | Ensure Full Rank Design Matrix | |
ranef | Extract conditional modes and conditional variances from clmm objects | |
clm | Cumulative Link Models | |
clm.fit | Fit Cumulative Link Models | |
clm.control | Set control parameters for cumulative link models | |
anova.clm | ANODE Tables and Likelihood ratio test of cumulative link models | |
clm2.control | Set control parameters for cumulative link models | |
VarCorr | Extract variance and correlation parameters | |
anova.clm2 | Likelihood ratio test of cumulative link models | |
clm2 | Cumulative link models | |
clmm | Cumulative Link Mixed Models | |
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Vignettes of ordinal
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Details
Type | Package |
Date | 2019-12-10 |
LazyData | true |
ByteCompile | yes |
License | GPL (>= 2) |
NeedsCompilation | yes |
URL | https://github.com/runehaubo/ordinal |
BugReports | https://github.com/runehaubo/ordinal/issues |
Packaged | 2019-12-15 20:40:57 UTC; rhbc |
Repository | CRAN |
Date/Publication | 2019-12-15 22:10:02 UTC |
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