Repository for the OpenMx Structural Equation Modeling package
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Updated
May 28, 2024 - R
Repository for the OpenMx Structural Equation Modeling package
◽ <- ⚪ Structural Equation Modeling from a broader context.
pulsar: Parallel Utilities for Lambda Selection along a Regularization Path
Software for learning sparse Bayesian networks
Markov random fields with covariates
An R Package for Estimating Time-Varying Graphical Models
This R-package is for learning the structure of the type of graphical models called t-cherry trees from data. The structure is determined either directly from data or by increasing the order of a lower order t-cherry tree.
Official code repository for "Penalized MLE of multi-layer Gaussian Graphical Models"
Get ridge or die trying - 2 cents
Inference in Bayesian Networks with R
R code to reproduce analyses in "Rapid winter warming could disrupt coastal marine fish community structure" (Clark et al, Nature Climate Change, 2020)
R package for Bayesian inference with interacting particle systems
Generalized Score Matching
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.
Eficient Stepwise Selection in Decomposable Models
Utilities for learning sparse Bayesian networks
Basic building blocks in Bayesian statistics.
Principal Component Analysis, PCA, Gaussian Markov Random Fields, Graphical model,
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