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.
Provides functions for prior and likelihood sensitivity analysis in Bayesian models. Currently it implements methods to determine the sensitivity of the posterior to power-scaling perturbations of the prior and likelihood.
Version: | 1.0.4 |
Depends: | R (≥ 3.6.0) |
Imports: | checkmate (≥ 2.3.1), ggdist (≥ 3.3.2), ggh4x (≥ 0.2.5), ggplot2 (≥ 3.5.1), matrixStats (≥ 1.3.0), methods, posterior (≥ 1.6.0), rlang (≥ 1.1.4), stats, tibble (≥ 3.2.1), utils |
Suggests: | bayesplot (≥ 1.11.1), brms (≥ 2.22.0), cmdstanr (≥ 0.8.1), iwmm (≥ 0.0.1), knitr (≥ 1.47), philentropy (≥ 0.8.0), rstan (≥ 2.32.6), testthat (≥ 3.0.0), transport (≥ 0.15), rmarkdown (≥ 2.27) |
Published: | 2024-11-01 |
DOI: | 10.32614/CRAN.package.priorsense |
Author: | Noa Kallioinen [aut, cre, cph], Topi Paananen [aut], Paul-Christian Bürkner [aut], Aki Vehtari [aut], Frank Weber [ctb] |
Maintainer: | Noa Kallioinen <noa.kallioinen at aalto.fi> |
License: | GPL (≥ 3) |
URL: | https://n-kall.github.io/priorsense/ |
NeedsCompilation: | no |
Additional_repositories: | https://topipa.r-universe.dev, https://stan-dev.r-universe.dev |
Citation: | priorsense citation info |
Materials: | README NEWS |
CRAN checks: | priorsense results |
Reference manual: | priorsense.pdf |
Vignettes: |
Power-scaling sensitivity analysis (source, R code) |
Package source: | priorsense_1.0.4.tar.gz |
Windows binaries: | r-devel: priorsense_1.0.4.zip, r-release: priorsense_1.0.4.zip, r-oldrel: priorsense_1.0.4.zip |
macOS binaries: | r-release (arm64): priorsense_1.0.4.tgz, r-oldrel (arm64): priorsense_1.0.4.tgz, r-release (x86_64): priorsense_1.0.4.tgz, r-oldrel (x86_64): priorsense_1.0.4.tgz |
Old sources: | priorsense archive |
Reverse suggests: | brms |
Please use the canonical form https://CRAN.R-project.org/package=priorsense 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.