R: Bayesian Multiple-Membership Multilevel Models with Parameterizable Weight Functions

# Bayesian Multiple-Membership Multilevel Models with Parameterizable Weight Functions

## Documentation for package ‘bml’ version 0.9.0

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

## Help Pages

bml | Bayesian Multiple-Membership Multilevel Models with Parameterizable Weight Functions Using JAGS
coalgov | Coalition Governments in Western Democracies (1944-2014)
fix | Fix a coefficient to a known value
fn | Specify a weight function for multiple-membership models
hm | Define a hierarchical nesting structure
id | Specify identifier variables for multiple-membership and hierarchical structures
mcmcDiag | Summarize MCMC convergence diagnostics
mm | Define a multiple-membership structure
monetPlot | Visualize posterior distributions with density and trace plots
summary.bml | Summarize a fitted bml model
varDecomp | Variance decomposition for fitted bml models
vars | Specify covariates for multiple-membership or hierarchical models