The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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

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.

Version: 1.1.2
Depends: R (≥ 3.6.0), snowfall (≥ 1.84.6.1)
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 uw.edu>
BugReports: https://github.com/Cole-Monnahan-NOAA/adnuts/issues
License: GPL-3 | file LICENSE
URL: https://github.com/Cole-Monnahan-NOAA/adnuts
NeedsCompilation: no
Citation: adnuts citation info
Materials: README NEWS
CRAN checks: adnuts results

Documentation:

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

Downloads:

Package source: adnuts_1.1.2.tar.gz
Windows binaries: r-devel: adnuts_1.1.2.zip, r-release: adnuts_1.1.2.zip, r-oldrel: adnuts_1.1.2.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=adnuts to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.