BGGM: Bayesian Gaussian Graphical Models
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: |
2.1.5 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
BFpack (≥ 1.2.3), 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 (≥
1.3.0), mice (≥ 3.8.0), psych, knitr, rmarkdown, testthat (≥
3.0.0) |
| Published: |
2024-12-22 |
| DOI: |
10.32614/CRAN.package.BGGM |
| Author: |
Donald Williams [aut],
Joris Mulder [aut],
Philippe Rast [aut, cre] |
| Maintainer: |
Philippe Rast <rast.ph at gmail.com> |
| BugReports: |
https://github.com/donaldRwilliams/BGGM/issues |
| License: |
GPL-2 |
| URL: |
https://donaldrwilliams.github.io/BGGM/ |
| NeedsCompilation: |
yes |
| Citation: |
BGGM citation info |
| Materials: |
NEWS |
| CRAN checks: |
BGGM results |
Documentation:
| Reference manual: |
BGGM.pdf |
| Vignettes: |
Controlling for Variables (source)
Three Ways to Test the Same Hypothesis (source, R code)
In Tandem: Confirmatory and Exploratory Testing (source, R code)
MCMC Diagnostics (source, R code)
Network Plots (source, R code)
Custom Network Statistics (source, R code)
Custom Network Comparisons (source, R code)
Predictability: Binary, Ordinal, and Continuous (source, R code)
Testing Sums (source, R code)
Graphical VAR (source, R code)
|
Downloads:
Reverse dependencies:
Linking:
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