adnuts: No-U-Turn MCMC Sampling for 'ADMB' and 'TMB' Models

Bayesian inference using the no-U-turn (NUTS) algorithm by Hoffman and Gelman (2014) <http://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' ('TMB') models and other special cases. Functionality is similar to 'Stan', and the 'rstan' and 'shinystan' packages are used for diagnostics and inference.

Version: 1.0.1
Depends: R (≥ 3.3.0)
Imports: ellipse, rstan, R2admb
Suggests: snowfall (≥ 1.84.6.1), shinystan (≥ 2.5.0), matrixcalc (≥ 1.0.3), TMB (≥ 1.7.15), stats, knitr, rmarkdown
Published: 2019-04-04
Author: Cole Monnahan [aut, cre]
Maintainer: Cole Monnahan <monnahc at uw.edu>
BugReports: https://github.com/colemonnahan/adnuts/issues
License: GPL-3
URL: https://github.com/colemonnahan/adnuts
NeedsCompilation: no
Citation: adnuts citation info
Materials: README NEWS
CRAN checks: adnuts results

Downloads:

Reference manual: adnuts.pdf
Vignettes: No-U-turn sampling for ADMB and TMB models
Package source: adnuts_1.0.1.tar.gz
Windows binaries: r-devel: adnuts_1.0.1.zip, r-devel-gcc8: adnuts_1.0.1.zip, r-release: adnuts_1.0.1.zip, r-oldrel: adnuts_1.0.1.zip
OS X binaries: r-release: adnuts_1.0.1.tgz, r-oldrel: adnuts_1.0.1.tgz
Old sources: adnuts archive

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