CmdStanDiagnose         CmdStanDiagnose objects
CmdStanGQ               CmdStanGQ objects
CmdStanLaplace          CmdStanLaplace objects
CmdStanMCMC             CmdStanMCMC objects
CmdStanMLE              CmdStanMLE objects
CmdStanModel            CmdStanModel objects
CmdStanPathfinder       CmdStanPathfinder objects
CmdStanVB               CmdStanVB objects
as_draws.CmdStanMCMC    Create a 'draws' object from a CmdStanR fitted
                        model object
as_mcmc.list            Convert 'CmdStanMCMC' to 'mcmc.list'
cmdstan_model           Create a new CmdStanModel object
cmdstanr-package        CmdStanR: the R interface to CmdStan
cmdstanr_example        Fit models for use in examples
draws_to_csv            Write posterior draws objects to CSV files
                        suitable for running standalone generated
                        quantities with CmdStan.
eng_cmdstan             CmdStan knitr engine for Stan
fit-method-cmdstan_summary
                        Run CmdStan's 'stansummary' and 'diagnose'
                        utilities
fit-method-code         Return Stan code
fit-method-constrain_variables
                        Transform a set of unconstrained parameter
                        values to the constrained scale
fit-method-diagnostic_summary
                        Sampler diagnostic summaries and warnings
fit-method-draws        Extract posterior draws
fit-method-grad_log_prob
                        Calculate the log-probability and the gradient
                        w.r.t. each input for a given vector of
                        unconstrained parameters
fit-method-gradients    Extract gradients after diagnostic mode
fit-method-hessian      Calculate the log-probability , the gradient
                        w.r.t. each input, and the hessian for a given
                        vector of unconstrained parameters
fit-method-init         Extract user-specified initial values
fit-method-init_model_methods
                        Compile additional methods for accessing the
                        model log-probability function and parameter
                        constraining and unconstraining.
fit-method-inv_metric   Extract inverse metric (mass matrix) after MCMC
fit-method-log_prob     Calculate the log-probability given a provided
                        vector of unconstrained parameters.
fit-method-loo          Leave-one-out cross-validation (LOO-CV)
fit-method-lp           Extract log probability (target)
fit-method-metadata     Extract metadata from CmdStan CSV files
fit-method-mle          Extract (penalized) maximum likelihood estimate
                        after optimization
fit-method-num_chains   Extract number of chains after MCMC
fit-method-output       Access console output
fit-method-profiles     Return profiling data
fit-method-return_codes
                        Extract return codes from CmdStan
fit-method-sampler_diagnostics
                        Extract sampler diagnostics after MCMC
fit-method-save_object
                        Save fitted model object to a file
fit-method-save_output_files
                        Save output and data files
fit-method-summary      Compute a summary table of estimates and
                        diagnostics
fit-method-time         Report timing of CmdStan runs
fit-method-unconstrain_draws
                        Transform all parameter draws to the
                        unconstrained scale
fit-method-unconstrain_variables
                        Transform a set of parameter values to the
                        unconstrained scale
fit-method-variable_skeleton
                        Return the variable skeleton for 'relist'
install_cmdstan         Install CmdStan or clean and rebuild an
                        existing installation
model-method-check_syntax
                        Check syntax of a Stan program
model-method-compile    Compile a Stan program
model-method-diagnose   Run Stan's diagnose method
model-method-expose_functions
                        Expose Stan functions to R
model-method-format     Run stanc's auto-formatter on the model code.
model-method-generate-quantities
                        Run Stan's standalone generated quantities
                        method
model-method-laplace    Run Stan's Laplace algorithm
model-method-optimize   Run Stan's optimization algorithms
model-method-pathfinder
                        Run Stan's Pathfinder Variational Inference
                        Algorithm
model-method-sample     Run Stan's MCMC algorithms
model-method-sample_mpi
                        Run Stan's MCMC algorithms with MPI
model-method-variables
                        Input and output variables of a Stan program
model-method-variational
                        Run Stan's variational approximation algorithms
read_cmdstan_csv        Read CmdStan CSV files into R
register_knitr_engine   Register CmdStanR's knitr engine for Stan
set_cmdstan_path        Get or set the file path to the CmdStan
                        installation
write_stan_file         Write Stan code to a file
write_stan_json         Write data to a JSON file readable by CmdStan
