smm: sparse model matrix

In lme4breeding: Relationship-Based Mixed-Effects Models

sparse model matrix

Description

smm creates a sparse model matrix for the levels of the random effect to be used with the lmebreed solver.

Usage

  smm(x)

Arguments

x	vector of observations for the random effect.

Value

$res

a model matrix for a given factor.

Author(s)

Giovanny Covarrubias-Pazaran

References

Giovanny Covarrubias-Pazaran (2024). lme4breeding: enabling genetic evaluation in the age of genomic data. To be submitted to Bioinformatics.

Douglas Bates, Martin Maechler, Ben Bolker, Steve Walker (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1), 1-48.

See Also

The lmebreed solver.

Examples

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

lme4breeding documentation built on April 3, 2025, 6:28 p.m.