posterior: Tools for Working with Posterior Distributions

Provides useful tools for both users and developers of packages for fitting Bayesian models or working with output from Bayesian models. The primary goals of the package are to: (a) Efficiently convert between many different useful formats of draws (samples) from posterior or prior distributions. (b) Provide consistent methods for operations commonly performed on draws, for example, subsetting, binding, or mutating draws. (c) Provide various summaries of draws in convenient formats. (d) Provide lightweight implementations of state of the art posterior inference diagnostics. References: Vehtari et al. (2021) <doi:10.1214/20-BA1221>.

Version: 1.1.0
Depends: R (≥ 3.2.0)
Imports: abind, checkmate, rlang (≥ 0.4.7), stats, tibble (≥ 3.0.0), vctrs, tensorA, pillar, distributional, parallel, matrixStats
Suggests: testthat (≥ 2.1.0), caret (≥ 6.0.84), gbm (≥ 2.1.8), randomForest (≥ 4.6.14), e1071 (≥ 1.7.3), dplyr, tidyr, knitr, rmarkdown
Published: 2021-09-09
Author: Paul-Christian Bürkner [aut, cre], Jonah Gabry [aut], Matthew Kay [aut], Aki Vehtari [aut], Måns Magnusson [ctb], Rok Češnovar [ctb], Ben Lambert [ctb], Ozan Adıgüzel [ctb], Jacob Socolar [ctb]
Maintainer: Paul-Christian Bürkner <paul.buerkner at gmail.com>
BugReports: https://github.com/stan-dev/posterior/issues
License: BSD_3_clause + file LICENSE
URL: https://mc-stan.org/posterior/, https://discourse.mc-stan.org/
NeedsCompilation: no
Citation: posterior citation info
Materials: README NEWS
CRAN checks: posterior results

Downloads:

Reference manual: posterior.pdf
Vignettes: The posterior R package
rvar: The Random Variable Datatype
Package source: posterior_1.1.0.tar.gz
Windows binaries: r-devel: posterior_1.1.0.zip, r-release: posterior_1.1.0.zip, r-oldrel: posterior_1.1.0.zip
macOS binaries: r-release (arm64): posterior_1.1.0.tgz, r-release (x86_64): posterior_1.1.0.tgz, r-oldrel: posterior_1.1.0.tgz
Old sources: posterior archive

Reverse dependencies:

Reverse imports: brms, tidybayes
Reverse suggests: ggdist

Linking:

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