| ordinal-package | Regression Models for Ordinal Data via Cumulative Link (Mixed) Models |
| addterm.clm2 | Try all one-term additions to and deletions from a model |
| anova.clm2 | Likelihood ratio test of cumulative link models |
| anova.clmm2 | Likelihood ratio test of cumulative link models |
| clm | Cumulative Link Models |
| clm.control | Set control parameters for cumulative link models |
| clm.fit | Fit Cumulative Link Models |
| clm.fit.default | Fit Cumulative Link Models |
| clm.fit.factor | Fit Cumulative Link Models |
| clm2 | Cumulative link models |
| clm2.control | Set control parameters for cumulative link models |
| clmm | Cumulative Link Mixed Models |
| clmm.control | Set control parameters for cumulative link mixed models |
| clmm2 | Cumulative link mixed models |
| clmm2.control | Set control parameters for cumulative link mixed models |
| condVar | Extract conditional modes and conditional variances from clmm objects |
| condVar.clmm | Extract conditional modes and conditional variances from clmm objects |
| confint.clm | Confidence intervals and profile likelihoods for parameters in cumulative link models |
| confint.clm2 | Confidence intervals and profile likelihoods for parameters in cumulative link models |
| confint.clmm2 | Confidence intervals and profile likelihoods for the standard deviation for the random term in cumulative link mixed models |
| confint.profile.clm | Confidence intervals and profile likelihoods for parameters in cumulative link models |
| confint.profile.clm2 | Confidence intervals and profile likelihoods for parameters in cumulative link models |
| confint.profile.clmm2 | Confidence intervals and profile likelihoods for the standard deviation for the random term in cumulative link mixed models |
| convergence | Check convergence of cumulative link models |
| convergence.clm | Check convergence of cumulative link models |
| dgumbel | The Gumbel Distribution |
| dlgamma | The log-gamma distribution |
| drop.coef | Ensure Full Rank Design Matrix |
| dropterm.clm2 | Try all one-term additions to and deletions from a model |
| gcauchy | Gradients of common densities |
| ggumbel | The Gumbel Distribution |
| glgamma | The log-gamma distribution |
| glogis | Gradients of common densities |
| gnorm | Gradients of common densities |
| income | Income distribution (percentages) in the Northeast US |
| nominal_test | Likelihood ratio tests of model terms in scale and nominal formulae |
| nominal_test.clm | Likelihood ratio tests of model terms in scale and nominal formulae |
| ordinal | Regression Models for Ordinal Data via Cumulative Link (Mixed) Models |
| pgumbel | The Gumbel Distribution |
| plgamma | The log-gamma distribution |
| plot.profile.clm | Confidence intervals and profile likelihoods for parameters in cumulative link models |
| plot.profile.clm2 | Confidence intervals and profile likelihoods for parameters in cumulative link models |
| plot.profile.clmm2 | Confidence intervals and profile likelihoods for the standard deviation for the random term in cumulative link mixed models |
| plot.slice.clm | Slice the likelihood of a clm |
| predict.clm | Predict Method for CLM fits |
| predict.clm2 | Predict Method for CLM fits |
| predict.clmm2 | Predict Method for CLM fits |
| print.convergence.clm | Check convergence of cumulative link models |
| profile.clm | Confidence intervals and profile likelihoods for parameters in cumulative link models |
| profile.clm2 | Confidence intervals and profile likelihoods for parameters in cumulative link models |
| profile.clmm2 | Confidence intervals and profile likelihoods for the standard deviation for the random term in cumulative link mixed models |
| qgumbel | The Gumbel Distribution |
| ranef | Extract conditional modes and conditional variances from clmm objects |
| ranef.clmm | Extract conditional modes and conditional variances from clmm objects |
| rgumbel | The Gumbel Distribution |
| scale_test | Likelihood ratio tests of model terms in scale and nominal formulae |
| scale_test.clm | Likelihood ratio tests of model terms in scale and nominal formulae |
| slice | Slice the likelihood of a clm |
| slice.clm | Slice the likelihood of a clm |
| soup | Discrimination study of packet soup |
| update.clm2 | Update method for cumulative link models |
| update.clmm2 | Update method for cumulative link models |
| VarCorr | Extract variance and correlation parameters |
| VarCorr.clmm | Extract variance and correlation parameters |
| wine | Bitterness of wine |