rstan

Create an mcmc.list from a stanfit object

Convergence and efficiency diagnostics for Markov Chains

Check HMC diagnostics after sampling

Expose user-defined Stan functions to R for testing and simulation

Extract the compressed representation of a sparse matrix

Look up the Stan function that corresponds to a R function or name.

Obtain the full path of file Makeconf

Compute summaries of MCMC draws and monitor convergence

RStan Plotting Functions

Print a summary for a fitted model represented by a stanfit object

Read data in an R dump file to a list

RStan — the R interface to Stan

Internal Functions and Methods

Create a Skeleton for a New Source Package with Stan Programs

Set and read options used in RStan

Simulation Based Calibration (sbc)

Defunct function to set the compiler optimization level

Merge a list of stanfit objects into one

Fit a model with Stan

Read CSV files of samples generated by (R)Stan into a stanfit object

Demonstrate examples included in Stan

Construct a Stan model

ggplot2 for RStan

RStan Diagnostic plots

Set default appearance options

Dump the data for a Stan model to R dump file in the limited format that Stan can read.

Obtain the version of Stan

Translate Stan model specification to C++ code

Class stanfit: fitted Stan model

Extract samples from a fitted Stan model

log_prob and grad_log_prob functions

Approximate leave-one-out cross-validation

Moment matching for efficient approximate leave-one-out cross-validation (LOO)

Create a matrix of output plots from a stanfit object

Plots for stanfit objects

Summary method for stanfit objects

Markov chain traceplots

Create array, matrix, or data.frame objects from samples in a stanfit object

Class representing model compiled from C++

Draw samples of generated quantities from a Stan model

Obtain a point estimate by maximizing the joint posterior

Draw samples from a Stan model

Run Stan's variational algorithm for approximate posterior sampling