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minque
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.minque . minque results . minque.pdf . minque_2.0.0.tar.gz . minque_2.0.0.zip . minque_2.0.0.zip . minque_2.0.0.zip . minque_2.0.0.tgz . minque_2.0.0.tgz . minque_2.0.0.tgz . minque_2.0.0.tgz . minque_2.0.0.tgz . minque_2.0.0.tgz . minque archive . https://CRAN.R-project.org/package=minque .
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 29 Mar. 2025.
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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