Package index • bml

All functions

as_draws(<bml>) as_draws_df(<bml>) as_draws_matrix(<bml>) as_draws_array(<bml>): Extract posterior draws from a bml model
bernoulli() weibull() cox(): Model families for bml
bml(): Bayesian Multilevel Models for Micro-Macro Analysis (Multiple Membership) Using JAGS
bmlCompare(): Compare fitted bml models in a publication-style table
bml_delta(): Temporal composition change: matched decomposition of a feature difference
bml_realloc(): Reallocation of membership weights toward high-attribute members
bml_turnover(): Membership turnover between two snapshots
coalgov: Coalition Governments in Western Democracies (1944-2014)
coef(<bml>): Extract combined coefficients from a bml model
coefPlot(): Coefficient plot for fitted bml models
conditional_effects(): Conditional effects of main-formula predictors
est(): Mark a shape parameter as estimated
fe(): Fixed effects: no pooling
fitted(<bml>): Posterior expectations of the linear predictor
fix(): Fix a coefficient to a known value
fixef(<bml>): Extract fixed coefficients from a bml model
fn(): The aggregation function of an mm() block
get_prior(): List every settable prior of a bml model
glance(<bml>): Glance at a fitted bml model
hm(): Define a hierarchical nesting structure
id(): Specify identifier variables for multiple-membership and hierarchical structures
log_lik(): Pointwise log-likelihood of a bml model
loo(<bml>): Efficient approximate leave-one-out cross-validation for bml models
make_jagscode() make_jagsdata(): Generate the JAGS model code / data without fitting
mcmcDiag(): Summarize MCMC convergence diagnostics
mm(): Define a multiple-membership block (the micro-to-macro aggregation)
monetPlot(): Visualize posterior distributions with density and trace plots
posterior_predict(): Draws from the posterior predictive distribution
pp_check(): Posterior predictive checks for bml models
predict(<bml>): Predictions from a bml model
prior(): Structured prior specifications
ranef(<bml>): Extract random effects from a bml model
re(): Random effects: partial pooling
summary(<bml>): Summarize a fitted bml model
tidy(<bml>): Tidy a fitted bml model
varDecomp(): Variance decomposition for fitted bml models
vars(): Specify member-level attributes for mm() blocks
w(): Specify the membership weights of an mm() block
waic(<bml>): Widely applicable information criterion for bml models