Package: bayesMRM 2.4.0
Man-Suk Oh
bayesMRM: Bayesian Multivariate Receptor Modeling
Bayesian analysis of multivariate receptor modeling. The package consists of implementations of the methods of Park and Oh (2015) <doi:10.1016/j.chemolab.2015.08.021>.The package uses 'JAGS'(Just Another Gibbs Sampler) to generate Markov chain Monte Carlo samples of parameters.
Authors:
bayesMRM_2.4.0.tar.gz
bayesMRM_2.4.0.tar.gz(r-4.7-any)bayesMRM_2.4.0.tar.gz(r-4.6-any)
bayesMRM_2.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bayesMRM/json (API)
| # Install 'bayesMRM' in R: |
| install.packages('bayesMRM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
- c++– GNU Standard C++ Library v3
- Elpaso - PM2.5 speciation data from El Paso, Texas, USA.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1282e61a92. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 103 | ||
| source / vignettes | OK | 176 | ||
| linux-release-x86_64 | OK | 114 | ||
| wasm-release | OK | 151 |
Exports:bayesMRMAppbmrmconvdiag_bmrmpcplottrace_ACF_plot
Dependencies:base64encbslibcachemclicodacommonmarkcpp11digestevaluatefarverfastmapfontawesomefsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelifecyclemagrittrmemoisemimeotelpromisesR6rappdirsRColorBrewerRcpprglrjagsrlangrmarkdownS7sassscalesshinyshinythemessourcetoolstinytexvctrsviridisLitewithrxfunxtableyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Shiny App for exploring the results of Bayesian multivariate receptor modeling | bayesMRMApp |
| Bayesian Analysis of Multivariate Receptor Modeling | bmrm |
| Convergence Diagnostics on MCMC samples in 'bmrm' | convdiag_bmrm |
| PM2.5 speciation data from El Paso, Texas, USA. | Elpaso |
| Check the identifiability conditions | idCond_check idcond_check |
| Principal component plot | pcplot |
| Produce plots of the parameter estimates | plot plot.bmrm |
| Summarize the output of the 'bmrm' function | summary summary.bmrm |
| Trace and/or ACF plots of elements of a variable in 'bmrm' object | trace_ACF_plot |
