🔗 Methods for Correlation Analysis
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Updated
Jul 1, 2024 - R
🔗 Methods for Correlation Analysis
Bayesian Gaussian Graphical Models
PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing
Infers species direct association networks
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.
Monte Carlo Penalty Selection for graphical lasso
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/
High-dimensional change point detection in Gaussian Graphical models with missing values
AISTAT 2017 Paper: A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
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