Package: rgm
Type: Package
Title: Advanced Inference with Random Graphical Models
Version: 1.0.4
Authors@R: 
    c(person("Francisco", "Richter", email = "richtf@usi.ch", role = c("aut", "cre")),
      person("Veronica", "Vinciotti", email = "veronica.vinciotti@unitn.it", role = c("ctb")),
      person("Ernst", "Wit", email = "ernst.jan.camiel.wit@usi.ch", role = c("ctb")))
Description: Implements state-of-the-art Random Graphical Models (RGMs) for multivariate data analysis across multiple environments, offering tools for exploring network interactions and structural relationships. Capabilities include joint inference across environments, integration of external covariates, and a Bayesian framework for uncertainty quantification. Applicable in various fields, including microbiome analysis. Methods based on Vinciotti, V., Wit, E., & Richter, F. (2023). "Random Graphical Model of Microbiome Interactions in Related Environments." <arXiv:2304.01956>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: truncnorm, BDgraph, MASS, huge, ggplot2, stats, pROC, reshape2
LinkingTo: Rcpp
RoxygenNote: 7.3.0
BugReports: https://github.com/franciscorichter/rgm/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-21 14:58:35 UTC; pancho
Author: Francisco Richter [aut, cre],
  Veronica Vinciotti [ctb],
  Ernst Wit [ctb]
Maintainer: Francisco Richter <richtf@usi.ch>
Repository: CRAN
Date/Publication: 2024-03-21 17:40:02 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-12-19 03:59:22 UTC; windows
Archs: x64
