This module is a tool for calculating correlations such as Partial, Tetrachoric, Intraclass correlation coefficients, Canonical correlation, Bootstrap agreement, Rater reliability, Generalizability Theory, Analytic Hierarchy Process, and allows users to produce Gaussian Graphical Model and Partial plot.

gaussian-graphical-models jamovi analytic-hierarchy-process kappa-statistic correlation-structure partial-correlation concordance-correlation-coefficient multilevel-correlations intraclass-correlation-coefficients tetrachoric-correlation bootstrap-agreement polychoric-correlation generalizability-theory rater-reliability repeated-measures-correlation

• Updated Jun 17, 2026
• R

An R package for the stochastic simulation of processes with any marginal distribution and correlation structure

data-science time-series simulation rainfall r-package stochastic-processes distributions weather-simulation stochastic-simulation univariate-simulation multivariate-simulation copulas correlation-structure non-gaussian

• Updated Apr 30, 2020
• R

A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets

correlation recall modelling precision confidence selection-algorithm correlation-structure

• Updated Sep 24, 2025
• R

Criteria for selecting working correlation structure in generalized estimating equations

gee correlation-structure

• Updated Apr 29, 2019
• R

A theoretical framework where distance, correlation, and physical observables emerge from a prespatial structure through a non‑invertible ontological chain and complexity thresholds.

theoretical-physics pse entanglement mathematical-physics emergence correlation-structure emergent-spacetime emergent-geometry pregeometry complexity-thresholds projection-maps prespace structural-complexity noninvertible-maps pregeometric-physics correlation-based-physics complexity-threshold-theory

• Updated Nov 11, 2026