The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
Please use the canonical form https://CRAN.R-project.org/package=minque to link to this page.
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.
Health stats visible at Monitor.