Package: AugmentedPooledRCBD
Type: Package
Title: Augmented Pooled Randomized Complete Block Design Analysis
Version: 0.1.0
Authors@R: c(
    person("Santosha", "Rathod",
           role = c("aut", "cre", "ctb"),
           email = "santoshagriculture@gmail.com"),
    person("Susheel Kumar", "Sarkar",
           role = c("aut", "ctb")),
    person("Bijoy", "Chanda",
           role = c("aut", "ctb")),
    person("Bellamkonda", "Jyostna",
           role = "aut"),
    person("Sayantani", "Karmakar",
           role = "aut"),
    person("Vishnu", "Shankar",
           role = "aut"),
    person("Santosh Ganapati", "Patil",
           role = "aut"),
    person("Prabhat", "Kumar",
           role = "aut"),
    person("Prashant", "Vikram",
           role = "aut"),
    person("Mrinmoy", "Ray",
           role = "aut"),
    person("Nobin Chandra", "Paul",
           role = "aut"),
    person("Anil", "Kumar",
           role = "aut")
    )
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: 2026-10-05 11:36:59 UTC; root
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]
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev zlib1g-dev
Repository: https://santosharathod.r-universe.dev
Date/Publication: 2026-09-04 19:50:09 UTC
RemoteUrl: https://github.com/cran/AugmentedPooledRCBD
RemoteRef: HEAD
RemoteSha: dc250cd38942595f6c34a24b452dd83b2a2dce94