# rstan v2.17.3

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## R Interface to Stan

User-facing R functions are provided to parse, compile, test,
estimate, and analyze Stan models by accessing the header-only Stan library
provided by the 'StanHeaders' package. The Stan project develops a probabilistic
programming language that implements full Bayesian statistical inference
via Markov Chain Monte Carlo, rough Bayesian inference via 'variational'
approximation, and (optionally penalized) maximum likelihood estimation via
optimization. In all three cases, automatic differentiation is used to quickly
and accurately evaluate gradients without burdening the user with the need to
derive the partial derivatives.

## Functions in rstan

Name | Description | |

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

read_rdump | Read data in an R dump file to a list | |

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 | |

rstan-internal | Internal Functions and Methods | |

rstan-package | RStan --- R interface to Stan | |

monitor | Compute summaries of MCMC draws and monitor convergence | |

rstan-plotting-functions | RStan Plotting Functions | |

stan_demo | Demonstrate examples included in Stan | |

stan_model | Construct a Stan model | |

Plots | ggplot2 for RStan | |

Diagnostic plots | RStan Diagnostic plots | |

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

makeconf_path | Obtain the full path of file Makeconf | |

stan | Fit a model using Stan | |

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

plot-methods | Plots for stanfit objects | |

summary-methods | Summary method for stanfit objects | |

rstan_gg_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. | |

set_cppo | Defunct function to set the compiler optimization level | |

sflist2stanfit | Merge a list of stanfit objects into one | |

log_prob-methods | Model's log_prob and grad_log_prob functions | |

pairs.stanfit | Create a matrix of output plots from a stanfit object | |

stanmodel-class | Class representing model compiled from C++ | |

optimizing | Obtain a point estimate by maximizing the joint posterior | |

stanfit-class | Class stanfit: fitted Stan model | |

extract | Extract samples from a fitted Stan model | |

traceplot | Markov chain traceplots | |

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

As.mcmc.list | Create an mcmc.list from a stanfit object | |

rstan.package.skeleton | Create a Skeleton for a New Source Package with Stan Programs | |

rstan_options | Set and read options used in RStan | |

stan_version | Obtain the version of Stan | |

stanc | Translate Stan model specification to C++ code | |

sampling | Draw samples from a Stan model | |

check_hmc_diagnostics | Check HMC diagnostics after sampling | |

vb | Run Stan's variational algorithm for approximate posterior sampling | |

No Results! |

## Vignettes of rstan

Name | ||

besselK.hpp | ||

external.Rmd | ||

fib.hpp | ||

rstan.Rmd | ||

rstan.bib | ||

schools.stan | ||

stanfit-objects.Rmd | ||

No Results! |

## Last month downloads

## Details

Type | Package |

Date | 2018-01-15 |

License | GPL (>= 3) |

NeedsCompilation | yes |

LinkingTo | Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), BH (>= 1.65), StanHeaders (>= 2.17.2) |

URL | http://discourse.mc-stan.org, http://mc-stan.org |

BugReports | https://github.com/stan-dev/rstan/issues/ |

VignetteBuilder | knitr |

SystemRequirements | pandoc |

RoxygenNote | 5.0.1 |

Packaged | 2018-01-19 22:55:50 UTC; goodrich |

Repository | CRAN |

Date/Publication | 2018-01-20 15:33:21 UTC |

suggests | bayesplot , BH (>= 1.65) , KernSmooth , knitr (>= 1.15.1) , loo (>= 1.0.0) , Matrix , parallel , RcppEigen (>= 0.3.3.3.0) , rstantools , rstudioapi , RUnit , shinystan (>= 2.2.1) |

depends | ggplot2 (>= 2.0.0) , R (>= 3.0.2) , StanHeaders (>= 2.17.2) |

imports | gridExtra (>= 2.0.0) , inline , methods , Rcpp (>= 0.12.0) , stats4 |

Contributors | Joel de Guzman, Eric Niebler, Thomas Heller, John Fletcher, the R Core Team, Jonah Gabry, Daniel Lee, Hadley Wickham, Krzysztof Sakrejda, Oleg Sklyar, Jiqiang Guo, Trustees of Columbia University, Jens Oehlschlaegel-Akiyoshi |

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