GitHub topics: gaussian-graphical-models
hyunsooseol/seolmatrix
This module is a tool for calculating correlations such as Partial, Tetrachoric, Intraclass correlation coefficients, Bootstrap agreement, Rater reliability, Generalizability Theory, Analytic Hierarchy Process, and allows users to produce Gaussian Graphical Model and Partial plot.
Language: R - Size: 17.1 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 10 - Forks: 2
donaldRwilliams/BGGM
Bayesian Gaussian Graphical Models
Language: R - Size: 286 MB - Last synced at: 7 days ago - Pushed at: 9 days ago - Stars: 55 - Forks: 15
easystats/correlation
:link: Methods for Correlation Analysis
Language: R - Size: 159 MB - Last synced at: 7 days ago - Pushed at: 13 days ago - Stars: 440 - Forks: 57
YangLabHKUST/FLAG
Flexible and Accurate Methods for Estimation and Inference of Gaussian Graphical Models with Applications
Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: 9 days ago - Pushed at: 22 days ago - Stars: 5 - Forks: 0
felixleopoldo/trilearn
Bayesian structure learning and classification in decomposable graphical models.
Language: Python - Size: 1.6 MB - Last synced at: about 17 hours ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 5
skggm/skggm
Scikit-learn compatible estimation of general graphical models
Language: Python - Size: 8.61 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 247 - Forks: 45
ostwalprasad/LGNpy
Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧
Language: Python - Size: 702 KB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 36 - Forks: 7
AntoinePassemiers/PORTIA-Manuscript
Source code for the paper "Fast and Accurate Inference of Gene Regulatory Networks through Robust Precision Matrix Estimation", by Passemiers et al.
Language: Python - Size: 165 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 0
AntoinePassemiers/PORTIA
A Lightning-fast algorithm for Gene Regulatory Network inference from gene expression data
Language: Python - Size: 381 KB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1
Scrayil/GlobClus_prop-Analysis
This aim of this project is to analyze globular star clusters in the Milky Way, in order to understand their dynamics. The conducted study examined the properties that affect the central velocity dispersion, their impact and the correlations between them.
Language: HTML - Size: 3.72 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
markkukuismin/MCPeSe
Monte Carlo Penalty Selection for graphical lasso
Language: R - Size: 140 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1
QData/FASJEM
AISTAT 2017 Paper: A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
Language: R - Size: 5.5 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0
QData/SIMULE
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/
Language: R - Size: 12.5 MB - Last synced at: 15 days ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1
luca590/High-Dimensional-Statistics
PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing
Language: R - Size: 10.3 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 4
Rmomal/EMtree
Infers species direct association networks
Language: R - Size: 29.2 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 2
mlondschien/hdcd
High-dimensional change point detection in Gaussian Graphical models with missing values
Language: R - Size: 30.8 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
StatisKit/PGM
A Collection of Utilities for Modeling Multivariate Data Using Probabilistic Graphical Models
Language: C++ - Size: 203 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 4
ArminKaramzade/distributed-sparse-GGM
GGM structure learning using 1 bit.
Language: Python - Size: 24.8 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0
StatisKit/FFP17
Computational Studies of Adja Magatte Fall Internship
Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 3