This package offers three important components: (1) to construct a use-defined linear mixed model, (2) to employ one of linear mixed model approaches: minimum norm quadratic unbiased estimation (MINQUE) (Rao, 1971) for variance component estimation and random effect prediction; and (3) to employ a jackknife resampling technique to conduct various statistical tests. In addition, this package provides the function for model or data evaluations.This R package offers fast computations for large data sets analyses for various irregular data structures.
Version: | 1.1 |
Depends: | klaR, stats, utils, Matrix |
Published: | 2014-09-08 |
Author: | Jixiang Wu |
Maintainer: | Jixiang Wu <qgtools at gmail.com> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | minque results |
Reference manual: | minque.pdf |
Package source: | minque_1.1.tar.gz |
Windows binaries: | r-devel: minque_1.1.zip, r-release: minque_1.1.zip, r-oldrel: minque_1.1.zip |
OS X binaries: | r-release: minque_1.1.tgz, r-oldrel: minque_1.1.tgz |
Old sources: | minque archive |
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