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bayesMRM (version 2.4.0)

Bayesian Multivariate Receptor Modeling

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.

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Version

Install

install.packages('bayesMRM')

Monthly Downloads

295

Version

2.4.0

License

GPL (>= 2)

Maintainer

Man-Suk Oh

Last Published

December 14th, 2022

Functions in bayesMRM (2.4.0)

bmrm

Bayesian Analysis of Multivariate Receptor Modeling
bayesMRMApp

Shiny App for exploring the results of Bayesian multivariate receptor modeling
convdiag_bmrm

Convergence Diagnostics on MCMC samples in bmrm
plot.bmrm

Produce plots of the parameter estimates
trace_ACF_plot

Trace and/or ACF plots of elements of a variable in bmrm object
idcond_check

Check the identifiability conditions
summary.bmrm

Summarize the output of the bmrm function
pcplot

Principal component plot
Elpaso

PM2.5 speciation data from El Paso, Texas, USA.