as.data.frame.adfit

Fitted object from <code><a rd-options="" href="/link/sample_rwm?package=adnuts&version=1.1.2" data-mini-rdoc="adnuts::sample_rwm">sample_rwm</a></code>

row.names

optional

Convert object of class adfit to data.frame. Calls
<code><a rd-options="" href="/link/extract_samples?package=adnuts&version=1.1.2" data-mini-rdoc="adnuts::extract_samples">extract_samples</a></code>

Bayesian inference using the no-U-turn (NUTS) algorithm by
Hoffman and Gelman (2014) <https://www.jmlr.org/papers/v15/hoffman14a.html>.
Designed for 'AD Model Builder' ('ADMB') models,
or when R functions for log-density and log-density gradient
are available, such as 'Template Model Builder'
models and other special cases. Functionality is similar to 'Stan',
and the 'rstan' and 'shinystan' packages are used for diagnostics and
inference.

Cole Monnahan

adnuts

No-U-Turn MCMC Sampling for 'ADMB' Models

as.data.frame.adfit function

Fitted object from <code><a rd-options='' href='sample_rwm'>sample_rwm</a></code>

Convert object of class adfit to data.frame. Calls
<code><a rd-options='' href='extract_samples'>extract_samples</a></code>

Convert object of class adfit to data.frame. Calls
<code><a rd-options='' href='extract_samples'>extract_samples</a></code> — as.data.frame.adfit

Convert object of class adfit to data.frame. Calls
<code><a rd-options='' href='extract_samples'>extract_samples</a></code>

Convert object of class adfit to data.frame. Calls
<code><a rd-options="" href="/link/extract_samples?package=adnuts&version=1.1.2" data-mini-rdoc="adnuts::extract_samples">extract_samples</a></code>

as.data.frame.adfit: Convert object of class adfit to data.frame. Calls `extract_samples`

Description

Usage

Arguments

Value

Details