Other packages > Find by keyword >

postpack  

Utilities for Processing Posterior Samples Stored in 'mcmc.lists'
View on CRAN: Click here


Download and install postpack package within the R console
Install from CRAN:
install.packages("postpack")

Install from Github:
library("remotes")
install_github("cran/postpack")

Install by package version:
library("remotes")
install_version("postpack", "0.5.4")



Attach the package and use:
library("postpack")
Maintained by
Ben Staton
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-17
Latest Update: 2022-12-21
Description:
The aim of 'postpack' is to provide the infrastructure for a standardized workflow for 'mcmc.list' objects. These objects can be used to store output from models fitted with Bayesian inference using 'JAGS', 'WinBUGS', 'OpenBUGS', 'NIMBLE', 'Stan', or even custom MCMC algorithms. Although the 'coda' R package provides some methods for these objects, it is somewhat limited in easily performing post-processing tasks for specific nodes. Models are ever increasing in their complexity and the number of tracked nodes, and oftentimes a user may wish to summarize/diagnose sampling behavior for only a small subset of nodes at a time for a particular question or figure. Thus, many 'postpack' functions support performing tasks on a subset of nodes, where the subset is specified with regular expressions. The functions in 'postpack' streamline the extraction, summarization, and diagnostics of specific monitored nodes after model fitting. Further, because there is rarely only ever one model under consideration, 'postpack' scales efficiently to perform the same tasks on output from multiple models simultaneously, facilitating rapid assessment of model sensitivity to changes in assumptions.
How to cite:
Ben Staton (2020). postpack: Utilities for Processing Posterior Samples Stored in 'mcmc.lists'. R package version 0.5.4, https://cran.r-project.org/web/packages/postpack. Accessed 08 Jun. 2026.
Previous versions and publish date:
0.5.2 (2020-09-17 11:30), 0.5.3 (2021-06-02 23:50)
Other packages that cited postpack R package
View postpack citation profile
Other R packages that postpack depends, imports, suggests or enhances
Complete documentation for postpack
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

AdvBinomApps  
Upper Clopper-Pearson Confidence Limits for Burn-in Studies under Additional Available Information
Functions to compute upper Clopper-Pearson confidence limits of early life failure probabilities and ...
Download / Learn more Package Citations See dependency  
ODMeans  
OD-Means: k-Means for Origin-Destination
OD-means is a hierarchical adaptive k-means algorithm based on origin-destination pairs. In the fir ...
Download / Learn more Package Citations See dependency  
geofacet  
'ggplot2' Faceting Utilities for Geographical Data
Provides geographical faceting functionality for 'ggplot2'. Geographical faceting arranges a sequen ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
penppml  
Penalized Poisson Pseudo Maximum Likelihood Regression
A set of tools that enables efficient estimation of penalized Poisson Pseudo Maximum Likelihood reg ...
Download / Learn more Package Citations See dependency  
FluMoDL  
Influenza-Attributable Mortality with Distributed-Lag Models
Functions to estimate the mortality attributable to influenza and temperature, using distributed-la ...
Download / Learn more Package Citations See dependency  

27,372

R Packages

233,548

Dependencies

72,820

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA