minque
2.0.0Various Linear Mixed Model Analyses
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 92%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Author records are not tracked yet for this package.
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 2.0.0Latest
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 1.12014-09-08 · diff ↗
- RR 3.1.0 released · 2014-04-10
- 1.02014-01-16
Show 1 earlier events
- RR 3.0.0 released · 2013-04-03
Package metadata
- First published
- 2014-01-16
- Total releases
- 3 / 12 yrs
- License
- GPL-3 OSI
- Bundled data
- 6.3 KB / 4 files
- Download size
- 27 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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