glasso: Graphical Lasso: Estimation of Gaussian Graphical Models

Canonical link: https://rscholar.com/pkg/glasso

Jerome Friedman • Trevor Hastie • Rob Tibshirani • View description and downloads View dependencies GitHub project

2007 Published

1.11 Version

0 Citations

3 Authors

Referenced by ⇅	Year
epistasis: Detecting Epistatic Selection with Partially Observed Genotype Data (Version 0.0.1-1)	2016
fsMTS: Feature Selection for Multivariate Time Series (Version 0.1.7)	2020
NHMSAR: Non-Homogeneous Markov Switching Autoregressive Models (Version 1.19)	2014
SelvarMix: Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis (Version 1.2.1)	2014
BSL: Bayesian Synthetic Likelihood (Version 3.2.5)	2018
CVglasso: Lasso Penalized Precision Matrix Estimation (Version 1.0)	2018
EGAnet: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics (Version 2.1.0)	2019
EMgaussian: Expectation-Maximization Algorithm for Multivariate Normal (Gaussian) with Missing Data (Version 0.2.1)	2024
GGMselect: Gaussian Graphs Models Selection (Version 0.1-12.7.1)	2009
LDABiplots: Biplot Graphical Interface for LDA Models (Version 0.1.2)	2022
LUCIDus: LUCID with Multiple Omics Data (Version 3.0.3)	2018
MRCE: Multivariate Regression with Covariance Estimation (Version 2.4)	2012
MatrixLDA: Penalized Matrix-Normal Linear Discriminant Analysis (Version 0.2)	2016
NetDA: Network-Based Discriminant Analysis Subject to Multi-Label Classes (Version 0.2.0)	2022
SEMgraph: Network Analysis and Causal Inference Through Structural Equation Modeling (Version 1.2.2)	2021
SILGGM: Statistical Inference of Large-Scale Gaussian Graphical Model in Gene Networks (Version 1.0.0)	2017
SparseTSCGM: Sparse Time Series Chain Graphical Models (Version 4.0)	2013
TransGraph: Transfer Graph Learning (Version 1.0.1)	2023
TransTGGM: Transfer Learning for Tensor Graphical Models (Version 1.0.0)	2022
abundant: High-Dimensional Principal Fitted Components and Abundant Regression (Version 1.2)	2013
bootnet: Bootstrap Methods for Various Network Estimation Routines (Version 1.6)	2015
countprop: Calculate Model-Based Metrics of Proportionality on Count-Based Compositional Data (Version 1.0.1)	2023
detectR: Change Point Detection (Version 0.3.0)	2021
ecoCopula: Graphical Modelling and Ordination using Copulas (Version 1.0.2)	2020
glassoFast: Fast Graphical LASSO (Version 1.0.1)	2018
graphicalVAR: Graphical VAR for Experience Sampling Data (Version 0.3.4)	2015
heteromixgm: Copula Graphical Models for Heterogeneous Mixed Data (Version 2.0.2)	2023
hglasso: Learning Graphical Models with Hubs (Version 1.3)	2014
iDINGO: Integrative Differential Network Analysis in Genomics (Version 1.0.4)	2017
jointMeanCov: Joint Mean and Covariance Estimation for Matrix-Variate Data (Version 0.1.0)	2019
leakyIV: Leaky Instrumental Variables (Version 0.0.1)	2024
lglasso: Longitudinal Graphical Lasso (Version 0.1.0)	2022
lvnet: Latent Variable Network Modeling (Version 0.3.5)	2016
missoNet: Missingness in Multi-Task Regression with Network Estimation (Version 1.2.0)	2022
mombf: Model Selection with Bayesian Methods and Information Criteria (Version 3.5.4)	2008
netgwas: Network-Based Genome Wide Association Studies (Version 1.14.3)	2017
nutriNetwork: Structure Learning with Copula Graphical Model (Version 0.1.2)	2019
pgraph: Build Dependency Graphs using Projection (Version 1.6)	2016
psychonetrics: Structural Equation Modeling and Confirmatory Network Analysis (Version 0.13)	2019
qgraph: Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation (Version 1.9.8)	2011
regmed: Regularized Mediation Analysis (Version 2.1.0)	2020
robsel: Robust Selection Algorithm (Version 0.1.0)	2021
robustcov: Collection of Robust Covariance and (Sparse) Precision Matrix Estimators (Version 0.1)	2021
sAIC: Akaike Information Criterion for Sparse Estimation (Version 1.0.1)	2016
sGMRFmix: Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection (Version 0.3.0)	2018
scLink: Inferring Functional Gene Co-Expression Networks from Single Cell Data (Version 1.0.1)	2020
scout: Implements the Scout Method for Covariance-Regularized Regression (Version 1.0.4)	2008
sdafilter: Symmetrized Data Aggregation (Version 1.0.0)	2020
shock: Slope Heuristic for Block-Diagonal Covariance Selection in High Dimensional Gaussian Graphical Models (Version 1.0)	2015
sparseBC: Sparse Biclustering of Transposable Data (Version 1.2)	2013
sparseMatEst: Sparse Matrix Estimation and Inference (Version 1.0.0)	2019
textplot: Text Plots (Version 0.2.2)	2020

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