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:
minque_2.0.0.tar.gz
minque_2.0.0.zip(r-4.5)minque_2.0.0.zip(r-4.4)minque_2.0.0.zip(r-4.3)
minque_2.0.0.tgz(r-4.4-any)minque_2.0.0.tgz(r-4.3-any)
minque_2.0.0.tar.gz(r-4.5-noble)minque_2.0.0.tar.gz(r-4.4-noble)
minque_2.0.0.tgz(r-4.4-emscripten)minque_2.0.0.tgz(r-4.3-emscripten)
minque.pdf |minque.html✨
minque/json (API)
| # Install 'minque' in R: |
| install.packages('minque', repos = c('https://jacks306.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:3e3ea80a9e. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 09 2024 |
| R-4.5-win | OK | Nov 09 2024 |
| R-4.5-linux | OK | Nov 09 2024 |
| R-4.4-win | OK | Nov 09 2024 |
| R-4.4-mac | OK | Nov 09 2024 |
| R-4.3-win | OK | Nov 09 2024 |
| R-4.3-mac | OK | Nov 09 2024 |
Exports:lmmlmm.checklmm.jacklmm.permlmm.simulmm.simu.jacklmm.simudata
Dependencies:
