Repository for the OpenMx Structural Equation Modeling package

Software for learning sparse Bayesian networks

◽ <- ⚪ Structural Equation Modeling from a broader context.

Markov random fields with covariates

Inference in Bayesian Networks with R

pulsar: Parallel Utilities for Lambda Selection along a Regularization Path

Get ridge or die trying - 2 cents

An R Package for Estimating Time-Varying Graphical Models

Basic building blocks in Bayesian statistics.

Graphical Instrumental Variable Estimation and Testing

tPC - Causal discovery with temporal background

Multiple Imputation in Causal Graph Discovery

R package for Partially Separable Multivariate Functional Data and Functional Graphical Models

Machine Learning 2017 / "A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models", / https://cran.r-project.org/web/packages/simule/

Estimation and inference of a directed acyclic graph with unspecified interventions.

R package for Bayesian inference with interacting particle systems

Sparse Gaussian graphical models with Sorted L-One Penalized Estimation

Generalized Score Matching

Utilities for learning sparse Bayesian networks

AISTAT 2017 Paper: A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models