check4MKL

Majority of the code is borrowed from the Microsoft R Open Rprofile.site file.
In case MKL can be detected this information will be stored in a separate envrionment, which
other function know about. If so, an optimized version of function <code>getGB</code>
will be used which used ordinary matrix-objects instead of matrices defined by the
<code>Matrix</code>-package. This seems to accelerate computation time for large datasets
by up to factor 30.

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

check4MKL function

Authors of the Rprofile.site file in Microsoft R Open,
Andre Schuetzenmeister <a href="/link/andre.schuetzenmeister%40roche.com?package=VCA&version=1.5.1" data-mini-rdoc="VCA::andre.schuetzenmeister@roche.com">andre.schuetzenmeister@roche.com</a>

Author

Check for Availability of Intel's Math Kernel Library — check4MKL

Authors of the Rprofile.site file in Microsoft R Open,
Andre Schuetzenmeister <a href='mailto:andre.schuetzenmeister@roche.com'>andre.schuetzenmeister@roche.com</a>

check4MKL: Check for Availability of Intel's Math Kernel Library

Description

Usage

Arguments

Value

Author

Details