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.

Python SPACE: sparse partial correlation estimation

Planting a clinical dependency graph into the entanglement topology of a shallow quantum circuit, to generate synthetic MIMIC-IV ICU data. A light-cone theorem forces the circuit to be shallow, and makes the graph's alignment measurable.