residuals.MMERM

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

object

the type of residuals which should be returned. The alternatives are: "conditional" (e=y-(Xb+Zu)) and "regular" (e=y-Xb).

type

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<code>residuals</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.

residuals.MMERM: Residuals form a GLMM fitted with mmer

Description

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See Also