Other packages > Find by keyword >

MCMCvis  

Tools to Visualize, Manipulate, and Summarize MCMC Output
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MCMCvis", "0.16.3")



Attach the package and use:
library("MCMCvis")
Maintained by
Casey Youngflesh
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-06
Latest Update: 2023-08-23
Description:
Performs key functions for MCMC analysis using minimal code - visualizes, manipulates, and summarizes MCMC output. Functions support simple and straightforward subsetting of model parameters within the calls, and produce presentable and 'publication-ready' output. MCMC output may be derived from Bayesian model output fit with 'Stan', 'NIMBLE', 'JAGS', and other software.
How to cite:
Casey Youngflesh (2016). MCMCvis: Tools to Visualize, Manipulate, and Summarize MCMC Output. R package version 0.16.3, https://cran.r-project.org/web/packages/MCMCvis. Accessed 03 Feb. 2025.
Previous versions and publish date:
0.6.3 (2016-10-06 20:09), 0.7.0 (2017-01-05 10:39), 0.7.1 (2017-02-08 06:17), 0.8.1 (2017-10-31 23:49), 0.9.2 (2018-01-11 05:20), 0.9.4 (2018-01-27 07:05), 0.10.0 (2018-04-05 18:30), 0.10.2 (2018-05-02 17:20), 0.11.0 (2018-05-22 05:05), 0.11.2 (2018-08-27 21:44), 0.12.0 (2019-01-02 19:10), 0.12.1 (2019-01-18 19:50), 0.12.2 (2019-02-24 19:10), 0.13.0 (2019-09-23 23:20), 0.13.1 (2019-09-25 17:20), 0.13.3 (2019-10-23 17:30), 0.13.5 (2019-12-07 06:10), 0.14.0 (2020-03-25 06:20), 0.15.0 (2021-03-17 14:20), 0.15.1 (2021-04-13 17:30), 0.15.2 (2021-05-14 15:32), 0.15.3 (2021-06-25 01:40), 0.15.5 (2022-02-08 22:10), 0.16.0 (2023-05-13 00:20), 0.16.2 (2023-08-23 04:20)
Other packages that cited MCMCvis R package
View MCMCvis citation profile
Other R packages that MCMCvis depends, imports, suggests or enhances
Complete documentation for MCMCvis
Functions, R codes and Examples using the MCMCvis R package
Some associated functions: MCMC_data . MCMC_data2 . MCMCchains . MCMCdiag . MCMCplot . MCMCpstr . MCMCsummary . MCMCtrace . MCMCvis . 
Some associated R codes: MCMC_data.R . MCMC_data2.R . MCMCchains.R . MCMCdiag.R . MCMCplot.R . MCMCpstr.R . MCMCsummary.R . MCMCtrace.R . MCMCvis.R .  Full MCMCvis package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

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  
flowTraceR  
Tracing Information Flow for Inter-Software Comparisons in Mass Spectrometry-Based Bottom-Up Proteomics
Useful functions to standardize software outputs from ProteomeDiscoverer, Spectronaut, DIA-NN and Ma ...
Download / Learn more Package Citations See dependency  
xLLiM  
High Dimensional Locally-Linear Mapping
Provides a tool for non linear mapping (non linear regression) using a mixture of regression model a ...
Download / Learn more Package Citations See dependency  
PERMANOVA  
Multivariate Analysis of Variance Based on Distances and Permutations
Calculates multivariate analysis of variance based on permutations and some associated pictorial rep ...
Download / Learn more Package Citations See dependency  
INLABMA  
Bayesian Model Averaging with INLA
Fit Spatial Econometrics models using Bayesian model averaging on models fitted with INLA. The INLA ...
Download / Learn more Package Citations See dependency  
copulaboost  
Fitting Additive Copula Regression Models for Binary Outcome Regression
Additive copula regression for regression problems with binary outcome via gradient boosting [Bran ...
Download / Learn more Package Citations See dependency  

23,580

R Packages

204,057

Dependencies

63,980

Author Associations

23,581

Publication Badges

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