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Missplot: Missing Plot Technique in Design of Experiment

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
DOI: 10.32614/CRAN.package.Missplot
Author: Shantanu Nayek [cre, aut], Saheli Datta [aut]
Maintainer: Shantanu Nayek <shantanuashis at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: Missplot results

Documentation:

Reference manual: Missplot.pdf

Downloads:

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

Linking:

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.
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