csc: customized covariance structure

In sommer: Solving Mixed Model Equations in R

customized covariance structure

Description

csc creates a customized covariance structure for specific levels of the random effect to be used with the mmec solver.

Usage

  csc(x, mm, thetaC, theta)

Arguments

x	vector of observations for the random effect.
mm	customized variance-covariance structure for the levels of the random effect.
thetaC	an optional matrix for constraints in the variance components.
theta	an optional matrix for initial values of the variance components.

Value

$res

a list with the provided vector and the variance covariance structure expected for the levels of the random effect.

Author(s)

Giovanny Covarrubias-Pazaran

References

Covarrubias-Pazaran G (2016) Genome assisted prediction of quantitative traits using the R package sommer. PLoS ONE 11(6): doi:10.1371/journal.pone.0156744

See Also

The function vsc to know how to use csc in the mmec solver.

Examples

x <- as.factor(c(1:5,1:5,1:5));x
csc(x,matrix(1,5,5))

sommer documentation built on Nov. 13, 2023, 9:05 a.m.