Simulating Data | Estimation | Results
Package: rgm 1.2.1
Francisco Richter
rgm: Advanced Inference with Random Graphical Models
Implements Random Graphical Models for multivariate data analysis across multiple environments, providing 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. C., and Richter, F. (2026) "Random Graphical Model of Microbiome Interactions in Related Environments" <doi:10.1007/s13253-024-00638-6>.
Authors:
rgm_1.2.1.tar.gz
rgm_1.2.1.zip(r-4.7)rgm_1.2.1.zip(r-4.6)rgm_1.2.1.zip(r-4.5)
rgm_1.2.1.tgz(r-4.6-x86_64)rgm_1.2.1.tgz(r-4.6-arm64)rgm_1.2.1.tgz(r-4.5-x86_64)rgm_1.2.1.tgz(r-4.5-arm64)
rgm_1.2.1.tar.gz(r-4.7-arm64)rgm_1.2.1.tar.gz(r-4.7-x86_64)rgm_1.2.1.tar.gz(r-4.6-arm64)rgm_1.2.1.tar.gz(r-4.6-x86_64)
rgm_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rgm/json (API)
| # Install 'rgm' in R: |
| install.packages('rgm', repos = c('https://franciscorichter.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/franciscorichter/rgm/issues
Last updated from:4d48f4803a. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 146 | ||
| linux-devel-x86_64 | OK | 141 | ||
| source / vignettes | OK | 216 | ||
| linux-release-arm64 | OK | 139 | ||
| linux-release-x86_64 | OK | 163 | ||
| macos-release-arm64 | OK | 182 | ||
| macos-release-x86_64 | OK | 257 | ||
| macos-oldrel-arm64 | OK | 143 | ||
| macos-oldrel-x86_64 | OK | 343 | ||
| windows-devel | OK | 104 | ||
| windows-release | OK | 108 | ||
| windows-oldrel | OK | 100 | ||
| wasm-release | OK | 111 |
Exports:bprGmcmcpost_processing_rgmrgmrotsample.datasim.rgm
Dependencies:BDgraphclicpp11farverggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmvtnormpkgconfigplyrpROCR6RColorBrewerRcppreshape2rlangS7scalesstringistringrtruncnormvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| rgm: Advanced Inference with Random Graphical Models | rgm-package |
| Bayesian Probit Regression (BPR) | bpr |
| Graph MCMC Sampler | Gmcmc |
| Post-Processing for RGM (Random Graph Model) | post_processing_rgm |
| Random Graphical Model | rgm |
| Rotate Locations | rot |
| Sample Data | sample.data |
| Simulate Data from a Random Graphical Model | sim.rgm |