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.
- Version1.6.0
- R versionunknown
- LicenseBSD_3_clause
- LicenseLICENSE
- Needs compilation?No
- posterior citation info
- Last release07/03/2024
Documentation
Team
Paul-Christian Bürkner
MaintainerShow author detailsMatthew Kay
Show author detailsRolesAuthorJonah Gabry
Show author detailsRolesAuthorMåns Magnusson
Show author detailsRolesContributorNoa Kallioinen
Show author detailsRolesContributorAki Vehtari
Show author detailsRolesAuthorRok Češnovar
Show author detailsRolesContributorJacob Socolar
Show author detailsRolesContributorBen Lambert
Show author detailsRolesContributorOzan Adıgüzel
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 64,838 times in the last 30 days. This work is reaching a lot of screens. A significant achievement indeed! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2,309 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 609,180 times in the last 365 days. This is starting to look legendary. Enough downloads to inspire a dedicated panel discussion! The day with the most downloads was Mar 25, 2025 with 3,155 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports9 packages
- Suggests11 packages
- Reverse Imports33 packages
- Reverse Suggests14 packages