anova.MMERM

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

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


models

anova.mmerM

Multivariate mixed model solver for multiple random effects allowing the specification of variance covariance structures. ML/REML estimates are obtained using the Average Information (AI), Expectation-Maximization (EM), Newton-Raphson (NR), or Efficient Mixed Model Association (EMMA) algorithms. Designed for genomic prediction and genome wide association studies (GWAS) to include additive, dominance and epistatic relationship structures or other covariance structures in R, but also functional as a regular mixed model program. Multivariate models (multiple responses) can be fitted currently with NR, AI and EMMA algorithms allowing multiple random effects as well. Covariance structures for the residual component is currently supported only for balanced univariate Newton Raphson.

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anova.mmerM: anova form a GLMM fitted with mmer

Description

Usage

Arguments

Value

See Also