Package index • iop

Package overview

One formula interface (y ~ x | z), one class, one set of methods.

oprobit() ologit(): Ordered probit and ordered logit regression
iop() iol(): Inflated ordered probit and inflated ordered logit regression

summary(<iord>): Summarize an ordered / inflated ordered fit
vcov(<iord>): Covariance matrix of an ordered / inflated ordered fit
confint(<iord>): Confidence intervals for an ordered / inflated ordered fit
update(<iord>): Update and refit an iord model
ranef(): Empirical-Bayes unit effects of a random-intercept fit

predict(<iord>): Predictions from an ordered / inflated ordered fit
first_difference(): First differences in predicted probabilities
ame(): Average marginal effects
plot(<iop_fd>) plot(<iop_ame>): Plot first differences or average marginal effects

vuong(): Vuong test for non-nested (or boundary-nested) model comparison
inflation_test(): Test for category inflation
split_test(): Test of a common versus category-specific split equation
lr_test(): Likelihood-ratio test for nested ordered / inflated ordered fits
compare_models(): Side-by-side fit statistics for ordered / inflated ordered models
parallel_test(): Likelihood-ratio tests of the parallel-regression assumption
classification(): Classification table and accuracy scores

riop(): Simulate data from an (inflated) ordered probit or logit process
diord() piord() qiord() riord(): Distribution functions of the (inflated) ordered response
simulate(<iord>): Simulate responses from a fitted ordered / inflated ordered model
residuals(<iord>): Residuals for ordered / inflated ordered fits

tidy(<iord>): Tidy an ordered / inflated ordered fit (broom method)
glance(<iord>): Glance at an ordered / inflated ordered fit (broom method)
augment(<iord>): Augment data with fitted classes and regime probabilities (broom method)