Combine results from multiple imputed datasets.

Identify the pattern of missing data.

Perform multiple imputation to handle missing data.

Perform k-fold cross-validation on Bayesian models.

Fits a Bayesian beta regression model using Stan.

Fits a Bayesian ordered logistic or probit regression model using Stan.

Fits a Bayesian generalized linear mixed-effects model using Stan.

Fits a Bayesian linear mixed-effects model using Stan.

Computes posterior predictive intervals for new observations based on a fitted model.

Generates posterior predictive samples from a fitted model.

Fits a generalized linear model (GLM) using Stan.

Computes the potential scale reduction factor (R-hat) for Stan model parameters.

Histogram plotting for Stan model diagnostics.

Visualizes traceplots of MCMC samples from a Stan model

Performs maximum a posteriori (MAP) estimation for a Stan model

Performs variational Bayesian inference on a Stan model

Draws samples from a Stan model

Compiles Stan model code

Interface to Stan for Bayesian inference

Configures a future backend plan for parallel processing.