R Package Scholar
32,442

gRbase: A Package for Graphical Modelling in R

Søren Højsgaard   View description and downloadsView dependenciesGitHub project

2004 Published
21 Citations
1 Authors
76 Revisions
2.0.3 Version
GPL-2 License
Referenced by ⇅ Year
cia: Learn and Apply Directed Acyclic Graphs for Causal Inference (Version 1.0.0)

2024
DNAmixturesLite: Statistical Inference for Mixed Traces of DNA (Lite-Version) (Version 0.0-1)

2023
KinMixLite: Inference About Relationships from DNA Mixtures (Version 2.1.1)

2023
bnClustOmics: Bayesian Network-Based Clustering of Multi-Omics Data (Version 1.1.1)

2022
BCDAG: Bayesian Structure and Causal Learning of Gaussian Directed Graphs (Version 1.1.2)

2022
OrdCD: Ordinal Causal Discovery (Version 1.1.2)

2022
gRaven: Bayes Nets: 'RHugin' Emulation with 'gRain' (Version 1.1.10)

2022
GGRidge: Graphical Group Ridge (Version 1.1.0)

2021
bnmonitor: An Implementation of Sensitivity Analysis in Bayesian Networks (Version 0.2.2)

2021
mcmcabn: Flexible Implementation of a Structural MCMC Sampler for DAGs (Version 0.6)

2019
gmat: Simulation of Graphical Correlation Matrices (Version 0.2.2)

2018
SourceSet: A Graphical Model Approach to Identify Primary Genes in Perturbed Biological Pathways (Version 0.1.5)

2018
bnspatial: Spatial Implementation of Bayesian Networks and Mapping (Version 1.1.1)

2016
simPATHy: A Method for Simulating Data from Perturbed Biological Pathways (Version 0.6)

2016
bnclassify: Learning Discrete Bayesian Network Classifiers from Data (Version 0.4.8)

2015
rags2ridges: Ridge Estimation of Precision Matrices from High-Dimensional Data (Version 2.2.7)

2014
gRim: Graphical Interaction Models (Version 0.3.4)

2011
topologyGSA: Gene Set Analysis Exploiting Pathway Topology (Version 1.5.0)

2011
gRain: Bayesian Networks (Version 1.4.5)

2008
bnlearn: Bayesian Network Structure Learning, Parameter Learning and Inference (Version 5.0.2)

2007
gRc: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries (Version 0.5.1)

2007

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