minque: An R Package for Linear Mixed Model Analyses

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: 1.0
Depends: klaR, stats, utils, agridat, Matrix
Published: 2014-01-16
Author: Jixiang Wu
Maintainer: Jixiang Wu <qgtools at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: minque results

Downloads:

Reference manual: minque.pdf
Package source: minque_1.0.tar.gz
Windows binaries: r-devel: minque_1.0.zip, r-release: minque_1.0.zip, r-oldrel: minque_1.0.zip
OS X Snow Leopard binaries: r-release: minque_1.0.tgz, r-oldrel: minque_1.0.tgz
OS X Mavericks binaries: r-release: not available