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minque  

Various Linear Mixed Model Analyses
View on CRAN: Click here


Download and install minque package within the R console
Install from CRAN:
install.packages("minque")

Install from Github:
library("remotes")
install_github("cran/minque")

Install by package version:
library("remotes")
install_version("minque", "2.0.0")



Attach the package and use:
library("minque")
Maintained by
Jixiang Wu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-01-16
Latest Update: 2019-12-19
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.
How to cite:
Jixiang Wu (2014). minque: Various Linear Mixed Model Analyses. R package version 2.0.0, https://cran.r-project.org/web/packages/minque. Accessed 10 Nov. 2026.
Previous versions and publish date:
(2026-07-09 06:30), 1.0 (2014-01-16 20:31), 1.1 (2014-09-08 06:58)
Other packages that cited minque R package
View minque citation profile
Other R packages that minque depends, imports, suggests or enhances
Complete documentation for minque
Functions, R codes and Examples using the minque R package
Some associated functions: brate . cot . lmm.check . lmm.jack . lmm . lmm.perm . lmm.simu.jack . lmm.simu . lmm.simudata . maize . mq-package . ncii . 
Some associated R codes: Full minque package functions and examples
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