R Package Scholar
24,715

glasso: Graphical Lasso: Estimation of Gaussian Graphical Models

Jerome Friedman  Trevor Hastie  Rob Tibshirani   View description and downloadsView dependenciesGitHub 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 2.0.8)

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)

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)

2009
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

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.

rpkg.net © 2022 - 2024 Obi Obianom