coef.VCA

For conveniently using objects of class 'VCA' with other packages expecting this
function, e.g. the 'multcomp' package for general linear hypotheses for parametric
models (currently not fully implemented).

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 perform a 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.

Andre Schuetzenmeister

Variance Component Analysis

coef.VCA function

<dl><dt>object</dt>
<dd>(VCA) object where fixed effects shall be extracted</dd>
<dt>quiet</dt>
<dd>(logical) TRUE = will suppress any warning, which will be issued otherwise</dd>
<dt>...</dt>
<dd>additional parameters</dd></dl>

Arguments

Extract Fixed Effects from 'VCA' Object — coef.VCA

<dl>

<dt>object</dt>
<dd>(VCA) object where fixed effects shall be extracted</dd>


<dt>quiet</dt>
<dd>(logical) TRUE = will suppress any warning, which will be issued otherwise</dd>


<dt>...</dt>
<dd>additional parameters</dd>

</dl>

coef.VCA: Extract Fixed Effects from 'VCA' Object

Description

Usage

Arguments

Examples