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

Bayesian inference using the no-U-turn (NUTS) algorithm by Hoffman and Gelman (2014) <>. 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.

Version: 1.1.2
Depends: R (≥ 3.6.0), snowfall (≥
Imports: ellipse, rstan, R2admb, ggplot2, rlang
Suggests: shinystan (≥ 2.5.0), matrixcalc (≥ 1.0.3), stats, knitr, TMB, rmarkdown, withr, testthat (≥ 2.1.0)
Published: 2021-03-02
DOI: 10.32614/CRAN.package.adnuts
Author: Cole Monnahan ORCID iD [aut, cre]
Maintainer: Cole Monnahan <monnahc at>
License: GPL-3 | file LICENSE
NeedsCompilation: no
Citation: adnuts citation info
Materials: README NEWS
CRAN checks: adnuts results


Reference manual: adnuts.pdf
Vignettes: No-U-turn sampling for ADMB models


Package source: adnuts_1.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): adnuts_1.1.2.tgz, r-oldrel (arm64): adnuts_1.1.2.tgz, r-release (x86_64): adnuts_1.1.2.tgz, r-oldrel (x86_64): adnuts_1.1.2.tgz
Old sources: adnuts archive


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