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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.
| Version: | 2.0.0 |
| Published: | 2019-12-19 |
| DOI: | 10.32614/CRAN.package.minque |
| Author: | Jixiang Wu |
| Maintainer: | Jixiang Wu <jixiang.wu at sdstate.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | minque results |
| Reference manual: | minque.pdf |
| Package source: | minque_2.0.0.tar.gz |
| Windows binaries: | r-devel: minque_2.0.0.zip, r-release: minque_2.0.0.zip, r-oldrel: minque_2.0.0.zip |
| macOS binaries: | r-release (arm64): minque_2.0.0.tgz, r-oldrel (arm64): minque_2.0.0.tgz, r-release (x86_64): minque_2.0.0.tgz, r-oldrel (x86_64): minque_2.0.0.tgz |
| Old sources: | minque archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.