Package index • DIVAS

Package Overview

DIVAS DIVAS-package: DIVAS: Data Integration via Analysis of Subspaces

Core Workflow Function

The main function to run the DIVAS analysis pipeline.

DIVASmain(): Data integration via analysis of subspaces

Signal Extraction Functions

Functions for extracting signals from data matrices.

DJIVESignalExtractJP(): Signal Matrix Extraction for DIVAS

MatSignalExtractJP(): Matrix Signal Extraction

MedianMarcenkoPastur(): Calculate the Median of the Marčenko-Pastur Distribution

PercentileMarcenkoPastur(): Percentile of the Marcenko-Pastur Distribution

incMarPas(): Incomplete Marčenko-Pastur Distribution Function

ksOpt(): Optimal Shrinkage Estimation using Kolmogorov-Smirnov Criterion

optimal_shrinkage(): Optimal Shrinkage of Singular Values

optshrink_impl(): Optimal Shrinkage of Singular Values

Joint Structure Estimation Functions

Functions for estimating joint and individual structures.

DJIVEJointStrucEstimateJP(): Estimate full and partially shared joint structures Establish a DC programming problem to estimate each partially joint structure using Penalty CCP algorithm.

Reconstruction Functions

Functions for reconstructing data based on identified structures.

DJIVEReconstructMJ(): DJIVEReconstructMJ - Reconstruct joint blocks from data blocks

MatReconstructMJ(): MatReconstructMJ - Reconstruct joint block matrices and their loadings from data

Diagnostic Functions

Functions for diagnosing and evaluating the DIVAS results.

DJIVEAngleDiagnosticJP(): Create Diagnostic Plots for DJIVE Analysis

randDirAngleMJ(): Calculate Random Direction Angles

Utility Functions

Helper functions used within the DIVAS workflow.

MatCenterJP(): Center a Matrix by Rows, Columns, or Both

acosd(): Arccosine in Degrees