All functions

As.mcmc.list

Create an mcmc.list from a stanfit object

expose_stan_functions

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

extract_sparse_parts

Extract the compressed representation of a sparse matrix

lookup

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

makeconf_path

Obtain the full path of file Makeconf

monitor

Compute summaries of MCMC draws and monitor convergence

rstan-plotting-functions

RStan Plotting Functions

print

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

read_rdump

Read data in an R dump file to a list

rstan_options

Set and read options used in RStan

rstan.package.skeleton

Create a Skeleton for a New Source Package with Stan Programs

rstan-package

RStan --- R interface to Stan

set_cppo

Defunct function to set the compiler optimization level

sflist2stanfit

Merge a list of stanfit objects into one

read_stan_csv

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

stan_demo

Demonstrate examples included in Stan

stan_model

Construct a Stan model

stan_diag stan_par stan_rhat stan_ess stan_mcse

RStan Diagnostic plots

rstan_gg_options rstan_ggtheme_options

Set default appearance options

stan_plot stan_trace stan_scat stan_hist stan_dens stan_ac quietgg

ggplot2 for RStan

stan_rdump

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

stan_version

Obtain the version of Stan

stan

Fit a model using Stan

stanc stanc_builder

Translate Stan model specification to C++ code

stanfit-class

Class stanfit: fitted Stan model

extract

Extract samples from a fitted Stan model

log_prob-methods

Model's log_prob and grad_log_prob functions

pairs.stanfit

Create a matrix of output plots from a stanfit object

plot

Plots for stanfit objects

summary

Summary method for stanfit objects

traceplot

Markov chain traceplots

as.array

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

stanmodel-class

Class representing model compiled from C++

optimizing

Obtain a point estimate by maximizing the joint posterior

sampling

Draw samples from a Stan model

vb

Run Stan's variational algorithm for approximate posterior sampling