Packages and commands in BEsmarter GUI

Model Library Command Reference
Univariate models
Normal MCMCpack MCMCregress A. D. Martin, Quinn, and Park (2018)
Logit MCMCpack MCMClogit A. D. Martin, Quinn, and Park (2018)
Probit bayesm rbprobitGibbs P. Rossi (2017)
Multinomial (Mixed) Probit bayesm rmnpGibbs P. Rossi (2017)
Multinomial (Mixed) Logit bayesm rmnlIndepMetrop P. Rossi (2017)
Ordered Probit bayesm rordprobitGibbs P. Rossi (2017)
Negative Binomial (Poisson) bayesm rnegbinRw P. Rossi (2017)
Tobit MCMCpack MCMCtobit A. D. Martin, Quinn, and Park (2018)
Quantile MCMCpack MCMCquantreg A. D. Martin, Quinn, and Park (2018)
Bayesian bootstrap bayesboot bayesboot Baath (2018)
Multivariate models
Multivariate bayesm rmultireg P. Rossi (2017)
Seemingly Unrelated Regression bayesm rsurGibbs P. Rossi (2017)
Instrumental Variable bayesm rivGibbs P. Rossi (2017)
Bivariate Probit bayesm rmvpGibbs P. Rossi (2017)
Time series models
Normal dynamic linear model dlm dlmGibbsDIGs Petris (2010)
ARMA bayesforecast stan_sarima Alonzo and Cruz (2020)
Stochastic volatility models stochvol svsample Hosszejni and Kastner (2021)
VAR bvartools draw_posterior Mohr (2024)
Hierarchical longitudinal models
Normal MCMCpack MCMChregress A. D. Martin, Quinn, and Park (2018)
Logit MCMCpack MCMChlogit A. D. Martin, Quinn, and Park (2018)
Poisson MCMCpack MCMChpoisson A. D. Martin, Quinn, and Park (2018)
Bayesian model averaging
Normal (BIC) BMA bicreg Adrian Raftery et al. (2012)
Normal (MC3) BMA MC3.REG Adrian Raftery et al. (2012)
Normal (instrumental variables) ivbma ivbma Lenkoski, Karl, and Neudecker (2013)
Normal (Dynamic BMA) dma dma Tyler H. McCormick et al. (2018)
Logit (BIC) BMA bic.glm Adrian Raftery et al. (2012)
Gamma (BIC) BMA bic.glm Adrian Raftery et al. (2012)
Poisson (BIC) BMA bic.glm Adrian Raftery et al. (2012)
Diagnostics
Trace plot coda traceplot Plummer et al. (2016)
Autocorrelation plot coda autocorr.plot Plummer et al. (2016)
Geweke test coda geweke.diag Plummer et al. (2016)
Raftery & Lewis test coda raftery.diag Plummer et al. (2016)
Heidelberger & Welch test coda heidel.diag Plummer et al. (2016)

References

Alonzo, Izhar Asael, and Cristian Cruz. 2020. varstan: An R Package for Bayesian Time Series Models with Stan.” ARXIV Preprint.
Baath, R. 2018. Package Bayesboot. https://CRAN.R-project.org/package=bayesboot.
Hosszejni, Daniel, and Gregor Kastner. 2021. “Modeling Univariate and Multivariate Stochastic Volatility in r with stochvol and factorstochvol.” Journal of Statistical Software 100 (12): 1–34. https://doi.org/10.18637/jss.v100.i12.
Lenkoski, Alex, Anna Karl, and Andreas Neudecker. 2013. Package ivbma. https://CRAN.R-project.org/package=ivbma.
———. 2018. Package MCMCpack.
McCormick, Tyler H., Adrian Raftery, David Madigan, Sevvandi Kandanaarachchi, and Hana Sevcikova. 2018. Dma: Dynamic Model Averaging. https://doi.org/10.32614/CRAN.package.dma.
Mohr, Franz X. 2024. bvartools: Bayesian Inference of Vector Autoregressive and Error Correction Models. https://CRAN.R-project.org/package=bvartools.
Petris, Giovanni. 2010. “An R Package for Dynamic Linear Models.” Journal of Statistical Software 36 (12): 1–16. https://www.jstatsoft.org/v36/i12/.
Plummer, Martyn, Nicky Best, Kate Cowles, Karen Vines, Deepayan Sarkar, Douglas Bates, Russell Almond, and Arni Magnusson. 2016. Output Analysis and Diagnostics for MCMC. https://CRAN.R-project.org/package=coda.
Raftery, Adrian, Jennifer Hoeting, Chris Volinsky, Ian Painter, and Ka Yee Yeung. 2012. Package BMA. https://CRAN.R-project.org/package=BMA.
Rossi, P. 2017. Package Bayesm. https://CRAN.R-project.org/package=bayesm.