rags2ridges2.2.8 package

Transform real matrix into an adjacency matrix

Visualize the spectral condition number against the regularization par...

Search and visualize community-structures

Visualize the spectral condition number against the regularization par...

Maximum likelihood estimation of the covariance matrix

Maximum likelihood estimation of the covariance matrix with assumption...

Simulate sample covariances or datasets

Construct commonly used penalty matrices

Generate data-driven targets for fused ridge estimation

Generate a (data-driven) default target for usage in ridge-type shrink...

Visualize the differential graph

Core ridge precision estimators

Visualize (precision) matrix as a heatmap

Evaluate numerical properties square matrix

Visual inspection of the fit of a regularized precision matrix

Wrapper function

Test the necessity of fusion

Download KEGG pathway

Generate the distribution of the penalty parameter under the null hypo...

Test for block-indepedence

Mutual information between two sets of variates within a multivariate ...

Gaussian graphical model network statistics

Gaussian graphical model network statistics

Fused gaussian graphical model node pair path statistics

Gaussian graphical model node pair path statistics

Test if fused list-formats are correctly used

Test for symmetric positive (semi-)definiteness

Construct target matrix from KEGG

Fused Kullback-Leibler divergence for sets of distributions

Kullback-Leibler divergence between two multivariate normal distributi...

Evaluate regularized precision under various loss functions

Moments of the sample covariance matrix.

Evaluate the (penalized) (fused) likelihood

Select optimal penalty parameter by approximate leave-one-out cross-va...

Identify optimal ridge and fused ridge penalties

Select optimal penalty parameter by $K$-fold cross-validation

Automatic search for optimal penalty parameter

Select optimal penalty parameter by leave-one-out cross-validation

Automatic search for optimal penalty parameter

Compute partial correlation matrix or standardized precision matrix

Plot the results of a fusion test

Compute the pooled covariance or precision matrix estimate

Print and plot functions for fused grid-based cross-validation

Print and summarize fusion test

Prune square matrix to those variables having nonzero entries

Ridge estimation for high-dimensional precision matrices

Fused ridge estimation

Ridge estimation for high-dimensional precision matrices

Visualize the regularization path

Ridge estimation for high-dimensional precision matrices

Multivariate Gaussian simulation

Determine support of multiple partial correlation/precision matrices

Determine the support of a partial correlation/precision matrix

Symmetrize matrix

Visualize undirected graph

Subset 2 square matrices to union of variables having nonzero entries