Package: minque 2.0.0

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.

Authors:Jixiang Wu

minque_2.0.0.tar.gz
minque_2.0.0.zip(r-4.7)minque_2.0.0.zip(r-4.6)minque_2.0.0.zip(r-4.5)
minque_2.0.0.tgz(r-4.6-any)minque_2.0.0.tgz(r-4.5-any)
minque_2.0.0.tar.gz(r-4.7-any)minque_2.0.0.tar.gz(r-4.6-any)
minque_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
minque/json (API)

# Install 'minque' in R:
install.packages('minque', repos = c('https://jacks306.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • brate - Cotton boll retention rate data
  • cot - Twenty four cotton genotypes with four agronomic traits
  • maize - Maize variety trial
  • ncii - NC design II F1 data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.24 score 1 packages 29 scripts 197 downloads 2 mentions 7 exports 0 dependencies

Last updated from:3e3ea80a9e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK107
source / vignettesOK135
linux-release-x86_64OK112
macos-release-arm64OK166
macos-oldrel-arm64OK160
windows-develOK214
windows-releaseOK65
windows-oldrelOK64
wasm-releaseOK95

Exports:lmmlmm.checklmm.jacklmm.permlmm.simulmm.simu.jacklmm.simudata

Dependencies: