Package index • rstan

All functions

As.mcmc.list(): Create an mcmc.list from a stanfit object
Rhat() ess_bulk() ess_tail(): Convergence and efficiency diagnostics for Markov Chains
check_hmc_diagnostics() check_divergences() check_treedepth() check_energy() get_divergent_iterations() get_max_treedepth_iterations() get_num_leapfrog_per_iteration() get_num_divergent() get_num_max_treedepth() get_bfmi() get_low_bfmi_chains(): Check HMC diagnostics after sampling
expose_stan_functions() get_rng() get_stream(): 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() print(<simsummary>) `[`(<simsummary>): Compute summaries of MCMC draws and monitor convergence
nlist(): Created named lists
rstan-plotting-functions: RStan Plotting Functions
print(<stanfit>): 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-package rstan: RStan — the R interface to Stan
rstan.package.skeleton: Create a Skeleton for a New Source Package with Stan Programs
rstan_options(): Set and read options used in RStan
sbc() plot(<sbc>) print(<sbc>): Simulation Based Calibration (sbc)
set_cppo(): Defunct function to set the compiler optimization level
sflist2stanfit(): Merge a list of stanfit objects into one
stan(): Fit a model with Stan
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_plot() stan_trace() stan_scat() stan_hist() stan_dens() stan_ac() quietgg(): ggplot2 for RStan
stan_diag() stan_par() stan_rhat() stan_ess() stan_mcse(): RStan Diagnostic plots
rstan_gg_options() rstan_ggtheme_options(): Set default appearance options
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
stanc() stanc_builder(): Translate Stan model specification to C++ code
stanfit-class stanfit show,stanfit-method get_cppo_mode get_cppo_mode,stanfit-method get_stancode get_stancode,stanfit-method get_stanmodel get_stanmodel,stanfit-method get_seed get_seed,stanfit-method get_seeds get_seeds,stanfit-method get_inits get_inits,stanfit-method get_posterior_mean get_posterior_mean,stanfit-method get_elapsed_time get_elapsed_time,stanfit-method get_logposterior get_logposterior,stanfit-method get_adaptation_info get_adaptation_info,stanfit-method get_sampler_params get_sampler_params,stanfit,logical-method: Class stanfit: fitted Stan model
extract(<stanfit>): Extract samples from a fitted Stan model
log_prob(<stanfit>) grad_log_prob(<stanfit>) get_num_upars(<stanfit>) constrain_pars(<stanfit>) unconstrain_pars(<stanfit>): log_prob and grad_log_prob functions
loo_moment_match(<stanfit>): Moment matching for efficient approximate leave-one-out cross-validation (LOO)
loo(<stanfit>): Approximate leave-one-out cross-validation
pairs(<stanfit>): Create a matrix of output plots from a stanfit object
plot(<stanfit>,<missing>): Plots for stanfit objects
summary(<stanfit>): Summary method for stanfit objects
traceplot(<stanfit>): Markov chain traceplots
as.array(<stanfit>) as.matrix(<stanfit>) as.data.frame(<stanfit>) is.array(<stanfit>) dim(<stanfit>) dimnames(<stanfit>) names(<stanfit>) `names<-`(<stanfit>): Create array, matrix, or data.frame objects from samples in a stanfit object
stanmodel-class get_cppcode get_cxxflags get_cppcode,stanmodel-method get_cxxflags,stanmodel-method get_stancode,stanmodel-method show,stanmodel-method: Class representing model compiled from C++
gqs(<stanmodel>): Draw samples of generated quantities from a Stan model
optimizing(<stanmodel>): Obtain a point estimate by maximizing the joint posterior
sampling(<stanmodel>): Draw samples from a Stan model
vb(<stanmodel>): Run Stan's variational algorithm for approximate posterior sampling