id_sim_coverage

A fitted <code>idealstan</code> object with true data generated by <code><a rd-options="" href="/link/id_sim_gen?package=idealstan&version=0.5.1" data-mini-rdoc="idealstan::id_sim_gen">id_sim_gen</a></code>

How many times the models were fitted on new data, currently can only be 1

What the quantile coverage of the high posterior density interval should be

quantiles

Function that computes how often the true value of the parameter is included within the 
95/5 high posterior density interval

Offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Full and approximate Bayesian sampling with 'Stan' (www.mc-stan.org).

Robert Kubinec

idealstan

Generalized IRT Ideal Point Models with 'Stan'

Jonah Gabry

Ben Goodrich

Trustees of Columbia University 

id_sim_coverage function

A fitted <code>idealstan</code> object with true data generated by <code><a rd-options='' href='id_sim_gen'>id_sim_gen</a></code>

id_sim_coverage: Function that computes how often the true value of the parameter is included within the 95/5 high posterior density interval

Description

Usage

Arguments