solveMM

Function solves the Mixed Model Equations (MMEs) to
estimate fixed and random effects. It is for internal use
only, thus, not exported.

ANOVA-type estimation (prediction) of random effects and variance components in linear mixed models,
    is implemented. Random models, a sub-set of mixed models, can be fit applying a Variance Component Analysis (VCA).
    This is a special type of analysis frequently used in verifying the precision performance of diagnostics. 
    The Satterthwaite approximation of the total degrees of freedom is implemented. There are several functions 
    for extracting, random effects, fixed effects, variance-covariance matrices of random and fixed effects. 
    Residuals can be extracted as raw, standardized and studentized residuals. Additionally, a variability chart 
    is implemented for visualizing the variability in sub-classes emerging from an experimental design ('varPlot').

solveMM: Solve Mixed Model Equations.

Description

Usage

Arguments

Value

Examples