Coeff.beta.GLS: Generalized Least Squares estimators of the covaraite effects

In KarimOualkacha/PCH4Pedigees: Principal Components of Heritability for High Dimension Quantitative Traits and General Pedigrees

Description

This function calculate GLS estimates of the covariate coefficients.

Usage

Coeff.beta.GLS(ntype, X, Y.Cov, Sigma.g, Sigma.e, kin.miss)

Arguments

ntype	Vector of integers. Its length equals to the total number of families used in the pedigree file. The ntype's entries are the total number of subjects within each family.
X	Model design matrix.
Y.Cov	Vector in which each subject is represented by the p columns (p is the number of traits considered in the study).
Sigma.g	An ANOVA estimate of the genetic variance component.
Sigma.e	An ANOVA estimate of the environmental variance component.
kin.miss	List of matrices. Its length equals to the total number of families. The list entries represent the family kinship matrices.

Value

Vector of the GLS estimates of the covariate effects, included the intercept.

Author(s)

Karim Oualkacha

KarimOualkacha/PCH4Pedigees documentation built on May 20, 2019, 8:30 a.m.