Package index • bayesm.HART

MCMC Samplers

rhierMnlRwMixture(): Bayesian Multinomial Logit Model with HART Prior
rhierLinearMixture(): Bayesian Hierarchical Linear Model with HART Prior
rhierNegbinRw(): Bayesian Hierarchical Negative Binomial Model with HART Prior

Prediction

predict(<rhierMnlRwMixture>): Predict Method for rhierMnlRwMixture Objects
predict(<rhierLinearMixture>): Predict Method for rhierLinearMixture Objects
predict(<rhierNegbinRw>): Predict Method for rhierNegbinRw Objects

Marginal Effects

marginal_effects(): Calculate Marginal Effects for Hierarchical Models
summary(<marginal_effects>): Summarize Marginal Effects Object
plot(<summary.marginal_effects>): Plot Summarized Marginal Effects

Diagnostics & Summary

summary(<rhierMnlRwMixture>) summary(<rhierLinearMixture>) summary(<rhierNegbinRw>): Summary Method for Hierarchical Models

Simulation

sim_hier_mnl(): Simulate Hierarchical Multinomial Logit Data
sim_hier_linear(): Simulate Hierarchical Linear Model Data
sim_hier_negbin(): Simulate Hierarchical Negative Binomial Data
simple_sim_hier_mnl(): Simulate Hierarchical MNL Data with Predefined Settings & Var Control