id_plot_cov

A fitted <code>idealstan</code> object

object

Either <code>'person_cov'</code> for person or group-level hierarchical parameters,
<code>'discrim_reg_cov'</code> for bill/item discrimination parameters from regular (non-inflated) model, and 
<code>'discrim_infl_cov'</code> for bill/item discrimination parameters from inflated model.

cov_type

A character vector of coefficients from covariate plots to exclude from
plotting (should be the names of coefficients as they appear in the plots)

filter_cov

Any additional parameters passed on to <code><a rd-options="bayesplot" href="/link/mcmc_intervals?package=idealstan&version=0.7.1&to=bayesplot" data-mini-rdoc="bayesplot::mcmc_intervals">mcmc_intervals</a></code>

This function will pull the estimates of the hierarchical covariates (whether at the person or 
item-discrimination level) and then plot them on a vertical coefficient plot. Names of 
the parameters are taken from the levels of the factor if a categorical variable and the
column names otherwise.

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' (<https://mc-stan.org/>).

Robert Kubinec

idealstan

Generalized IRT Ideal Point Models with 'Stan'

Jonah Gabry

Ben Goodrich

Trustees of Columbia University 

id_plot_cov function

Any additional parameters passed on to <code><a rd-options='bayesplot' href='mcmc_intervals'>mcmc_intervals</a></code>

id_plot_cov: Display Coefficient Plot of Hierarchical Covariates

Description

Usage

Arguments

Value