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 |
crosstable.statistics | Calculate prediction accuracy statistics for a contingency table |
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 |
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. |
posthoc.cells | Calculate cellwise posthoc analyses for a two-way contingency table |
predict.polytomous | Predict method for polytomous objects |
print.polytomous | Fitting polytomous logistic regression models for fixed or mixed effects predictors. |
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 |
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 |