bayestestR (0.1.0)

0 users

Understand and Describe Bayesian Models and Posterior Distributions.

https://github.com/easystats/bayestestR
http://cran.r-project.org/web/packages/bayestestR

Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2014 ) and indices used for null-hypothesis testing (such as ROPE percentage and pd).

Maintainer: Dominique Makowski
Author(s): Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>), Daniel Ldecke [aut] (<https://orcid.org/0000-0002-8895-3206>)

License: GPL-3

Uses: insight, ggplot2, stringr, testthat, knitr, dplyr, tidyr, rmarkdown, broom, brms, covr, rstanarm, ggridges

Released 12 days ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of bayestestR yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for bayestestR on google, google scholar, r-help, r-devel.

Visit bayestestR on R Graphical Manual.