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 |
Author: |
Cole Monnahan
[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:
Downloads:
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