rstan_gg_options

rstan_ggtheme_options

For <code>rstan_ggtheme_options</code>, see
    <code><a rd-options="ggplot2" href="/link/theme?package=rstan&version=2.15.1&to=ggplot2" data-mini-rdoc="ggplot2::theme">theme</a></code> for the theme elements that can be specified
    in <code>...</code>. For <code>rstan_gg_options</code>, <code>...</code> can be <code>fill</code>,
    <code>color</code>, <code>chain_colors</code>, <code>size</code>, <code>pt_color</code>, or
    <code>pt_size</code>. See Examples.

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_gg_options function

For <code>rstan_ggtheme_options</code>, see
    <code><a rd-options='ggplot2' href='theme'>theme</a></code> for the theme elements that can be specified
    in <code>...</code>. For <code>rstan_gg_options</code>, <code>...</code> can be <code>fill</code>,
    <code>color</code>, <code>chain_colors</code>, <code>size</code>, <code>pt_color</code>, or
    <code>pt_size</code>. See Examples.

Set default appearance options — rstan_gg_options

Set default appearance options

rstan_gg_options: Set default appearance options

Description

Usage

Arguments

See Also

Examples