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


Reference manual: minque.pdf


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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