Fit Bayesian Gaussian graphical models. The methods are separated into two Bayesian approaches for inference: hypothesis testing and estimation. There are extensions for confirmatory hypothesis testing, comparing Gaussian graphical models, and node wise predictability. These methods were recently introduced in the Gaussian graphical model literature, including Williams (2019) <doi:10.31234/osf.io/x8dpr>, Williams and Mulder (2019) <doi:10.31234/osf.io/ypxd8>, Williams, Rast, Pericchi, and Mulder (2019) <doi:10.31234/osf.io/yt386>.
| Version: | 2.0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | BFpack (≥ 0.2.1), GGally (≥ 1.4.0), ggplot2 (≥ 3.2.1), ggridges (≥ 0.5.1), grDevices, MASS (≥ 7.3-51.5), methods, mvnfast (≥ 0.2.5), network (≥ 1.15), reshape (≥ 0.8.8), Rcpp (≥ 1.0.4.6), Rdpack (≥ 0.11-1), sna (≥ 2.5), stats, utils |
| LinkingTo: | Rcpp, RcppArmadillo, RcppDist, RcppProgress |
| Suggests: | abind (≥ 1.4-5), assortnet (≥ 0.12), networktools (≥ 1.2.3), mice (≥ 3.8.0), psych, knitr, rmarkdown |
| Published: | 2020-07-24 |
| Author: | Donald Williams [aut, cre], Joris Mulder [aut] |
| Maintainer: | Donald Williams <drwwilliams at ucdavis.edu> |
| BugReports: | https://github.com/donaldRwilliams/BGGM/issues |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Citation: | BGGM citation info |
| Materials: | NEWS |
| In views: | Psychometrics |
| CRAN checks: | BGGM results |
| Reference manual: | BGGM.pdf |
| Vignettes: |
Controlling for Variables Three Ways to Test the Same Hypothesis Confirmatory and Exploratory Testing Installation MCMC Diagnostics Network Plots Custom Network Statistics Custom Network Comparisons Predictability: Binary, Ordinal, and Continuous Testing Sums Graphical VAR |
| Package source: | BGGM_2.0.2.tar.gz |
| Windows binaries: | r-devel: BGGM_2.0.2.zip, r-release: BGGM_2.0.2.zip, r-oldrel: BGGM_2.0.2.zip |
| macOS binaries: | r-release: BGGM_2.0.2.tgz, r-oldrel: BGGM_2.0.2.tgz |
| Old sources: | BGGM archive |
| Reverse suggests: | bayeslincom, insight |
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