R: Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'

# Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'

## Documentation for package ‘hbamr’ version 2.4.6

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

hbamr-package | Hierarchical Bayesian Aldrich-McKelvey Scaling via Stan
fbam | Fit an FBAM model using optimization
get_est | Extract point estimates or other summaries of marginal posterior distributions
get_plot_data | Extract data for plotting results from an HBAM model
hbam | Fit an HBAM model
hbamr | Hierarchical Bayesian Aldrich-McKelvey Scaling via Stan
hbam_cv | Perform K-fold cross-validation
LC1980 | 1980 Liberal-Conservative Scales
LC2012 | 2012 Liberal-Conservative Scales
plot_by_group | Plot posterior densities of parameter averages by group
plot_over_self | Plot individual parameter estimates over self-placements
plot_respondents | Plot estimated respondent positions
plot_stimuli | Plot estimated stimulus positions
prep_data | Prepare data to fit an HBAM or FBAM model
prep_data_cv | Prepare data for a K-fold cross-validation of an HBAM model