Other packages > Find by keyword >

mcmcOutput  

Functions to Store, Manipulate and Display Markov Chain Monte Carlo (MCMC) Output
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mcmcOutput", "0.1.3")



Attach the package and use:
library("mcmcOutput")
Maintained by
Ngumbang Juat
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-04
Latest Update: 2025-09-01
Description:
Implements a class ('mcmcOutput') for efficiently storing and handling Markov chain Monte Carlo (MCMC) output, intended as an aid for those writing customized MCMC samplers. A range of constructor methods are provided covering common output formats. Functions are provided to generate summary and diagnostic statistics and to display histograms or density plots of posterior distributions, for the entire output, or subsets of draws, nodes, or parameters.
How to cite:
Ngumbang Juat (2020). mcmcOutput: Functions to Store, Manipulate and Display Markov Chain Monte Carlo (MCMC) Output. R package version 0.1.3, https://cran.r-project.org/web/packages/mcmcOutput. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:28), 0.1.1 (2020-06-04 11:10), 0.1.3 (2022-11-17 18:50)
Other packages that cited mcmcOutput R package
View mcmcOutput citation profile
Other R packages that mcmcOutput depends, imports, suggests or enhances
Complete documentation for mcmcOutput
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
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  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

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