sample_inits

An outputted list 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>

The number of chains for the subsequent run, which
determines the number to return.

chains

Function to generate random initial values from a previous fit using
adnuts

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

sample_inits function

An outputted list from <code><a rd-options='' href='sample_admb'>sample_admb</a></code>

sample_inits: Function to generate random initial values from a previous fit using adnuts

Description

Usage

Arguments

Value