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bayesMRM  

Bayesian Multivariate Receptor Modeling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bayesMRM", "2.4.0")



Attach the package and use:
library("bayesMRM")
Maintained by
Man-Suk Oh
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-29
Latest Update: 2022-12-14
Description:
Bayesian analysis of multivariate receptor modeling. The package consists of implementations of the methods of Park and Oh (2015) .The package uses 'JAGS'(Just Another Gibbs Sampler) to generate Markov chain Monte Carlo samples of parameters.
How to cite:
Man-Suk Oh (2022). bayesMRM: Bayesian Multivariate Receptor Modeling. R package version 2.4.0, https://cran.r-project.org/web/packages/bayesMRM. Accessed 07 Mar. 2026.
Previous versions and publish date:
2.3.0 (2022-11-29 11:50)
Other packages that cited bayesMRM R package
View bayesMRM citation profile
Other R packages that bayesMRM depends, imports, suggests or enhances
Complete documentation for bayesMRM
Functions, R codes and Examples using the bayesMRM R package
Some associated functions: Elpaso . bayesMRMApp . bmrm . convdiag_bmrm . idcond_check . pcplot . plot.bmrm . summary.bmrm . trace_ACF_plot . 
Some associated R codes: bayesMRMApp.R . bmrm.R . convdiag_bmrm.R . pcplot.R . plot.bmrm.R . summary.bmrm.R . trace_ACF_plot.R .  Full bayesMRM package functions and examples
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