rstan.package.skeleton

This function has been removed from rstan. Please use the new 
 <code>rstan_package_skeleton</code> function in the rstantools package.

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.

Ben Goodrich

rstan

R Interface to Stan

Jiqiang Guo

Jonah Gabry

Daniel Lee

Krzysztof Sakrejda

Trustees of Columbia University

Oleg Sklyar

The R Core Team

Jens Oehlschlaegel-Akiyoshi

Hadley Wickham

Joel de Guzman

John Fletcher

Thomas Heller

Eric Niebler

rstan.package.skeleton function

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

Create a Skeleton for a New Source Package with Stan Programs

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

Description

Arguments