augmentedRCBD: Analysis of Augmented Randomised Complete Block Designs

Functions for analysis of data generated from experiments in augmented randomised complete block design according to Federer, W.T. (1961) <doi:10.2307/2527837>. Computes analysis of variance, adjusted means, descriptive statistics, genetic variability statistics etc. Further includes data visualization and report generation functions.

Version: 0.1.4
Depends: R (≥ 3.0.1)
Imports: emmeans, dplyr, flextable, ggplot2, grDevices, methods, moments, multcomp, multcompView, Rdpack, stats, stringi, officer, reshape2, utils
Suggests: knitr, rmarkdown, pander, testthat, agricolae
Published: 2021-02-17
Author: J. Aravind ORCID iD [aut, cre], S. Mukesh Sankar [aut], Dhammaprakash Pandhari Wankhede ORCID iD [aut], Vikender Kaur [aut], ICAR-NBGPR [cph] (
Maintainer: J. Aravind <j.aravind at>
License: GPL-2 | GPL-3
Copyright: 2015-2018, ICAR-NBPGR
NeedsCompilation: no
Citation: augmentedRCBD citation info
Materials: README NEWS
CRAN checks: augmentedRCBD results


Reference manual: augmentedRCBD.pdf
Vignettes: Data_Analysis_with_augmentedRCBD
Package source: augmentedRCBD_0.1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: augmentedRCBD_0.1.4.tgz, r-oldrel: augmentedRCBD_0.1.4.tgz
Old sources: augmentedRCBD archive


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