model.frame method for stanmvreg objects
Pointwise log-likelihood matrix
Compute weighted expectations using LOO
Information criteria and cross-validation
Example model
formula method for stanreg objects
Extract X, Y or Z from a stanreg object
model.frame method for stanreg objects
Logit and inverse logit
Using the ShinyStan GUI with rstanarm models
Estimation algorithms available for rstanarm models
K-fold cross-validation
Plot the estimated subject-specific or marginal longitudinal trajectory
Pairs method for stanreg objects
model.matrix method for stanreg objects
posterior_interval.stanreg
Posterior uncertainty intervals
posterior_linpred.stanreg
Posterior distribution of the (possibly transformed) linear predictor
Family function for negative binomial GLMs
posterior_predict.stanreg
Draw from posterior predictive distribution
Plot method for stanreg objects
Plot the estimated subject-specific or marginal survival function
predictive_interval.stanreg
Predictive intervals
Estimate subject-specific or standardised survival probabilities
Print method for stanreg objects
Estimate the subject-specific or marginal longitudinal trajectory
Juxtapose prior and posterior
Graphical posterior predictive checks
Summarize the priors used for an rstanarm model
Generic print method for survfit.stanjm
objects
Model validation via simulation
Predict method for stanreg objects
In-sample or out-of-sample predictive errors
Extract standard errors
Deprecated functions
Bayesian beta regression models via Stan
Bayesian regularized linear but big models via Stan
Conditional logistic (clogit) regression models via Stan
Prior distributions and options
Graphical checks of the estimated survival function
Objects exported from other packages
Applied Regression Modeling via RStan
Datasets for rstanarm examples
Bayesian regularized linear models via Stan
Methods for stanmvreg objects
Create a draws
object from a stanreg
object
Bayesian multivariate generalized linear models with correlated
group-specific terms via Stan
Bayesian ordinal regression models via Stan
Bayesian nonlinear models with group-specific terms via Stan
Bayesian generalized linear models with group-specific terms via Stan
Bayesian joint longitudinal and time-to-event models via Stan
Bayesian generalized linear additive models with optional group-specific
terms via Stan
terms method for stanreg objects
terms method for stanmvreg objects
Create lists of fitted model objects, combine them, or append new models to
existing lists of models.
Fitted model objects
Methods for stanreg objects
Bayesian generalized linear models via Stan
Summary method for stanreg objects
family method for stanreg objects
Example joint longitudinal and time-to-event model
The QR
argument
Extract the posterior sample
adapt_delta
: Target average acceptance probability
Modeling functions available in rstanarm
Compute a Bayesian version of R-squared or LOO-adjusted R-squared for
regression models.
family method for stanmvreg objects