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.
A system for testing differential effects among treatments in case of Randomised Block Design and Latin Square Design when there is one missing observation. Methods for this process are as described in A.M.Gun,M.K.Gupta and B.Dasgupta(2019,ISBN:81-87567-81-3).
| Version: | 0.1.0 |
| Published: | 2022-07-02 |
| Author: | Shantanu Nayek [cre, aut], Saheli Datta [aut] |
| Maintainer: | Shantanu Nayek <shantanuashis at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | Missplot results |
| Reference manual: | Missplot.pdf |
| Package source: | Missplot_0.1.0.tar.gz |
| Windows binaries: | r-devel: Missplot_0.1.0.zip, r-release: Missplot_0.1.0.zip, r-oldrel: Missplot_0.1.0.zip |
| macOS binaries: | r-release (arm64): Missplot_0.1.0.tgz, r-oldrel (arm64): Missplot_0.1.0.tgz, r-release (x86_64): Missplot_0.1.0.tgz, r-oldrel (x86_64): Missplot_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=Missplot 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.