Package {AugmentedPooledRCBD}


Type: Package
Title: Augmented Pooled Randomized Complete Block Design Analysis
Version: 0.1.0
Maintainer: Santosha Rathod <santoshagriculture@gmail.com>
Description: Augmented randomized complete block designs (augmented RCBDs) are useful for researchers to evaluate large numbers of unreplicated test entries with limited replicated checks. This R and 'Shiny'-based statistical package provides methods for the analysis of augmented randomized complete block designs (augmented RCBDs) across multiple environments. The package performs environment-wise augmented RCBD analysis and pooled analysis across environments, including analysis of variance (ANOVA), testing for homogeneity of error variances across environments, adjusted treatment means, treatment sum-of-squares partitioning, standard error of the mean (SEM), critical difference (CD), and treatment ranking. For pooled analysis, environment-specific error variances are assessed for homogeneity and used for appropriate transformation where required, followed by a general linear model incorporating environment, block nested within environment, treatment, and environment x treatment interaction. This 'Shiny' interface provides a user-friendly platform that enables researchers and plant breeders to perform these analyses without requiring extensive programming knowledge. For method details see, Federer, W. T. (1961) <doi:10.2307/2527837>. It consists of the function augmentedPooledRCBD() which launches the application interface.
License: GPL-3
Encoding: UTF-8
Imports: car, dplyr, emmeans, shiny, DT, shinybusy, rlang
RoxygenNote: 7.3.3
Suggests: testthat (≥ 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-08-24 05:58:45 UTC; Dr. Santosh Rathod
Author: Santosha Rathod [aut, cre, ctb], Susheel Kumar Sarkar [aut, ctb], Bijoy Chanda [aut, ctb], Bellamkonda Jyostna [aut], Sayantani Karmakar [aut], Vishnu Shankar [aut], Santosh Ganapati Patil [aut], Prabhat Kumar [aut], Prashant Vikram [aut], Mrinmoy Ray [aut], Nobin Chandra Paul [aut], Anil Kumar [aut]
Repository: CRAN
Date/Publication: 2026-09-04 19:50:09 UTC

Launch Augmented Pooled RCBD Shiny Application

Description

Launches an interactive Shiny application for performing augmented randomized complete block design analysis across multiple environments.

Usage

augmentedPooledRCBD()

Value

An interactive Shiny application for augmented pooled RCBD analysis.

References

Federer, W. T. (1961). Augmented designs with one-way elimination of heterogeneity. Biometrics, 17(3), 447-473. doi:10.2307/2527837

Searle, S. R. (1965). Computing formulae for analyzing augmented randomized complete block designs (Technical Report BU-207-M). Cornell University, Biometrics Unit.

Maranna, S., Nataraj, V., Kumawat, G., Mehetre, S. P., Reddy, R., Jaybhay, S., P. G., S., Rathod, S., Agrawal, N., Rajesh, V., Kumar, S., Rajput, L. S., Talukdar, A., C., G., Chandra, S., Ratnaparkhe, M. B., Ramteke, R., Satpute, G. K., Gupta, S., & Singh, K. H. (2024). Understanding of G Ă— E interactions of yield attributes in soybean MAGIC population and characterization for charcoal rot resistance. Agronomy Journal, 116(3), 1290-1301. doi:10.1002/agj2.21572

Malaquias, J. V., Amabile, R. F., Zorzo, F., Melo, J. V. P., & Fagioli, M. (2023). Analysis of variance in augmented block design and Scott-Knott's test in hybrid corn selection studies. Pesquisa Agropecuária Brasileira, 58, e03023. doi:10.1590/S1678-3921.pab2022.v57.03023

Examples

if (interactive()) {
  augmentedPooledRCBD()
}