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minque (version 2.0.0)

Various Linear Mixed Model Analyses

Description

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.

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Version

Install

install.packages('minque')

Monthly Downloads

206

Version

2.0.0

License

GPL-3

Maintainer

Jixiang Wu

Last Published

December 19th, 2019

Functions in minque (2.0.0)

minque-package

Various Linear Mixed Model Analyses
cot

Twenty four cotton genotypes with four agronomic traits
lmm.simudata

An R function to generate a simulated data set
maize

Maize variety trial
ncii

NC design II F1 data
lmm.check

An R function to obtain information from a linear mixed model
lmm.perm

An R function for linear mixed model analysis and permutation test
lmm

An R function for linear mixed model analysis.
lmm.simu

An R function for linear mixed model simulation.
lmm.jack

An R function for linear mixed model analysis
lmm.simu.jack

An R function for linear mixed model simulation.
brate

Cotton boll retention rate data