rstanarm

The QR argument

adapt_delta: Target average acceptance probability

Extract the posterior sample

Estimation algorithms available for rstanarm models

Modeling functions available in rstanarm

Compute a Bayesian version of R-squared or LOO-adjusted R-squared for regression models.

Example joint longitudinal and time-to-event model

Example model

family method for stanmvreg objects

family method for stanreg objects

formula method for stanreg objects

Extract X, Y or Z from a stanreg object

K-fold cross-validation

Using the ShinyStan GUI with rstanarm models

Pointwise log-likelihood matrix

Logit and inverse logit

Information criteria and cross-validation

Compute weighted expectations using LOO

model.frame method for stanmvreg objects

model.frame method for stanreg objects

model.matrix method for stanreg objects

Family function for negative binomial GLMs

Pairs method for stanreg objects

Plot the estimated subject-specific or marginal longitudinal trajectory

Plot method for stanreg objects

Plot the estimated subject-specific or marginal survival function

Posterior uncertainty intervals

Posterior distribution of the (possibly transformed) linear predictor

Draw from posterior predictive distribution

Estimate subject-specific or standardised survival probabilities

Estimate the subject-specific or marginal longitudinal trajectory

Juxtapose prior and posterior

Graphical posterior predictive checks

Model validation via simulation

Predict method for stanreg objects

In-sample or out-of-sample predictive errors

Predictive intervals

Print method for stanreg objects

Generic print method for survfit.stanjm objects

Summarize the priors used for an rstanarm model

Prior distributions and options

Graphical checks of the estimated survival function

Objects exported from other packages

Datasets for rstanarm examples

Deprecated functions

Applied Regression Modeling via RStan

Extract standard errors

Bayesian beta regression models via Stan

Bayesian regularized linear but big models via Stan

Conditional logistic (clogit) regression models via Stan

Bayesian generalized linear additive models with optional group-specific terms via Stan

Bayesian generalized linear models via Stan

Bayesian generalized linear models with group-specific terms via Stan

Bayesian joint longitudinal and time-to-event models via Stan

Bayesian regularized linear models via Stan

Bayesian multivariate generalized linear models with correlated group-specific terms via Stan

Bayesian nonlinear models with group-specific terms via Stan

Bayesian ordinal regression models via Stan

Methods for stanmvreg objects

Methods for stanreg objects

Fitted model objects

Create lists of fitted model objects, combine them, or append new models to existing lists of models.

Summary method for stanreg objects

terms method for stanmvreg objects

terms method for stanreg objects