This package offers ideal-point scaling/dimension reduction methods that incorporate additional response categories and missing/censored values, including absences and abstentions, for rollcall voting data (or any other kind of binary or ordinal item-response theory data). Full and approximate Bayesian inference is done via the Stan engine (www.mc-stan.org).
|Maintainer||Robert Kubinec <[email protected]>|
|Package repository||View on GitHub|
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