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 |
| 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-release: adnuts_1.0.1.zip, r-oldrel: adnuts_1.0.1.zip |
| macOS binaries: | r-release: adnuts_1.0.1.tgz, r-oldrel: adnuts_1.0.1.tgz |
| Old sources: | adnuts archive |
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