print.adfit

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

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

print.adfit function

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

print.adfit: Print summary of adfit object

Description

Usage

Arguments

Value