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| anova.polytomous | Analysis of Model Fit for Polytomous Logistic Regression models |
| anova.polytomouslist | Analysis of Model Fit for Polytomous Logistic Regression models |
| associations | Calculate measures of association for a two-way contingency table |
| chisq.posthoc | Calculate cellwise posthoc analyses for a two-way contingency table |
| crosstable.statistics | Calculate prediction accuracy statistics for a contingency table |
| extract.exemplars | Extract a subset of exemplary exemplars from a dataset |
| extract.prototypes | Extract the prototypical features for a set of outcomes |
| instance2narrowcount | Transformation of an uncounted instance-specific data table into a count data table in the'"narrow"' format |
| model.statistics | Calculate statistics for goodness of fit and prediction accuracy for a model |
| multinomial2logical | Transformation of a data frame with multinomial variable columns into a '"logical"' format |
| nominal | Univariate and bivariate statistics for categorical, unordered variables |
| plot.polytomous | Plot function for selected results of 'polytomous'. |
| plot.polytomous.parameters | Plot function for selected results of 'polytomous'. |
| plot.polytomous.probabilities | Plot function for selected results of 'polytomous'. |
| polytomous | Fitting polytomous logistic regression models for fixed or mixed effects predictors. |
| polytomous.one.vs.rest | Fitting polytomous logistic regression models with the one-vs-rest heuristic |
| polytomous.poisson.reformulation | A function fitting a polytomous logistic regression model based on the Poisson-reformulation heuristic. |
| predict.polytomous | Predict method for polytomous objects |
| print.nominal | Univariate and bivariate statistics for categorical, unordered variables |
| print.polytomous | Fitting polytomous logistic regression models for fixed or mixed effects predictors. |
| print.summary.nominal | Univariate and bivariate statistics for categorical, unordered variables |
| print.summary.polytomous | A summary of a Polytomous Logistic Regression model |
| ranef | Extract the modes of the random effects for polytomous objects |
| ranef.polytomous | Extract the modes of the random effects for polytomous objects |
| shanghainese | Shanghainese topic markers. |
| summary.nominal | Univariate and bivariate statistics for categorical, unordered variables |
| summary.polytomous | A summary of a Polytomous Logistic Regression model |
| think | Finnish 'think' verbs. |
| wide2narrowcount | Transformation of a count data table from '"wide"' to '"narrow"' count format |