summary.MMERM

print.summary.MMERM

print.MMERM

<p>an object of class <code>"MMERM"</code></p>

object

&#8230;

<p><code>summary</code> method for class <code>"MMERM"</code>.</p>

models

Structural multivariate-univariate linear mixed model solver for multiple random effects allowing the specification of variance-covariance structures for random effects and allowing the fit of heterogeneous variance models (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson, and Efficient Mixed Model Association algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) to include multiple relationship matrices or other covariance structures. Spatial models can be fitted using the two-dimensional spline functionality in sommer.

Giovanny Covarrubias-Pazaran

sommer

Solving Mixed Model Equations in R

summary.MMERM function

summary form a GLMM fitted with mmer — summary.MMERM

summary form a GLMM fitted with mmer

summary.MMERM: summary form a GLMM fitted with mmer

Description

Usage

Arguments

Value

See Also