minque: Various 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:	2.0.0
Published:	2019-12-19
Author:	Jixiang Wu
Maintainer:	Jixiang Wu <jixiang.wu at sdstate.edu>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	minque results

Documentation:

Reference manual:

minque.pdf

Downloads:

Package source:	minque_2.0.0.tar.gz
Windows binaries:	r-devel: minque_2.0.0.zip, r-release: minque_2.0.0.zip, r-oldrel: minque_2.0.0.zip
macOS binaries:	r-release (arm64): minque_2.0.0.tgz, r-oldrel (arm64): minque_2.0.0.tgz, r-release (x86_64): minque_2.0.0.tgz, r-oldrel (x86_64): minque_2.0.0.tgz
Old sources:	minque archive

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