Matrix indicating connections between the observed variables and the latent variables in the path model fitted to QCAHS data, used in the vignette to estimate the weight coefficients of the model.


weight matrix

The package provides tools to model and test the
association between multiple genotypes and multiple traits,
taking into account the prior biological knowledge. Genes, and
clinical pathways are incorporated in the model as latent
variables. The method is based on Generalized Structured
Component Analysis (GSCA).

Hela Romdhani

ASGSCA

Association Studies for multiple SNPs and multiple traits using
Generalized Structured Equation Models

W0 function

Format

Matrix indicating connections between the observed variables and the latent variables in the path model fitted to QCAHS data, used in the vignette to estimate the weight coefficients of the model.

W0: Matrix indicating connections between the observed variables and the latent variables for QCAHS data.

Description

Usage

Arguments

Format