Bayesian Estimation of Probit Unfolding Models for Binary Preference Data

Documentation for package ‘pumBayes’ version 1.0.0

calc_waic	Calculate a block version of Watanabe-Akaike Information Criterion (WAIC)
dtnorm	Density Function for Truncated Normal Distribution
h116	116th U.S. House of Representatives Roll Call Votes
item_char	Generate Data for Item Characteristic Curves
mqTime	U.S. Supreme Court Voting Data (1937-2021)
mqVotes	U.S. Supreme Court Voting Data (1937-2021)
post_rank	Generate Quantile Ranks for Legislators
predict_ideal	Calculate Probabilities for the IDEAL Model
predict_irt	Calculate Probabilities for Dynamic Item Response Theory Model
predict_pum	Calculate Probabilities for Probit Unfolding Models
preprocess_rollcall	Preprocess Roll Call Data
sample_pum_dynamic	Generate posterior samples from the dynamic probit unfolding model
sample_pum_static	Generate posterior samples from the static probit unfolding model
scotus.1937.2021	U.S. Supreme Court Voting Data (1937-2021)
tune_hyper	Generate Probability Samples for Voting "Yes"