anova.MMERM

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

object

an object of class <code>"MMERM"</code>, if NULL the program will return an error specifying that this function was developed for comparing mixed models using likelihood ratio tests and no to provide regular sum of squares results.

object2

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<code>anova</code> method for class <code>"MMERM"</code>.

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.

anova.MMERM: anova form a GLMM fitted with mmer

Description

Usage

Arguments

Value

See Also