Augmented Pooled Randomized Complete Block Design Analysis R package AugmentedPooledRCBD version 0.1.0 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. Software Imports: car, dplyr, emmeans, shiny, DT, shinybusy, rlang Suggests: testthat (>= 3.0.0) Santosha Rathod <santoshagriculture@gmail.com> Comprehensive R Archive Network (CRAN) 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] GPL-3 2026-09-04 application/tgz https://CRAN.R-project.org/package=AugmentedPooledRCBD doi:10.32614/CRAN.package.AugmentedPooledRCBD