lmerG

(logical) TRUE = in case of non-zero covariances a block diagonal matrix will be constructed,
                 FALSE = a diagonal matrix with all off-diagonal element being equal to zero will be contructed


This function either restricts the variance-covariance matrix of random effects G to be either
diagonal ('cov=FALSE') or to take any non-zero covariances into account (default, 'cov=TRUE').



ANOVA and REML estimation of linear mixed models is implemented, once following
Searle et al. (1991, ANOVA for unbalanced data), once making use of the 'lme4' package.
The primary objective of this package is to a perform variance component analysis (VCA)
according to CLSI EP05-A3 guideline "Evaluation of Precision of Quantitative Measurement
Procedures" (2014). There are plotting methods for visualization of an experimental design,
plotting random effects and residuals. For ANOVA type estimation two methods for computing
ANOVA mean squares are implemented (SWEEP and quadratic forms). The covariance matrix of
variance components can be derived, which is used in estimating confidence intervals. Linear
hypotheses of fixed effects and LS means can be computed. LS means can be computed at specific
values of covariables and with custom weighting schemes for factor variables. See ?VCA for a
more comprehensive description of the features.

lmerG: Construct Variance-Covariance Matrix of Random Effects for Models Fitted by Function 'lmer'.

Description

Usage

Arguments

Value

Details