DESCRIPTION

Package: designit
Title: Blocking and Randomization for Experimental Design
Version: 0.5.0.9000
Authors@R: c(
    person(given = c(first = "Iakov", middle = "I."),
           family = "Davydov",
           role = c("aut", "cre", "cph"),
           email = "iakov.davydov@roche.com",
           comment = c(ORCID = "0000-0003-3510-3926")),
    person(given = "Juliane",
           family = "Siebourg-Polster",
           role = c("aut", "cph"),
           email = "juliane.siebourg-polster@roche.com",
           comment = c(ORCID = "0000-0002-1759-3223")),
    person(given = "Guido",
           family = "Steiner",
           role = c("aut", "cph"),
           email = "guido.steiner@roche.com",
           comment = c(ORCID = "")),
    person(given = "Konrad",
           family = "Rudolph",
           role = "ctb",
           email = "konrad.rudolph@roche.com",
           comment = c(ORCID = "0000-0002-9866-7051")),
    person(given = "Jitao David",
           family = "Zhang",
           role = c("aut", "cph"),
           email = "jitao_david.zhang@roche.com",
           comment = c(ORCID="0000-0002-3085-0909")),
    person(given = "Balazs",
           family = "Banfai",
           role = c("aut", "cph"),
           email = "balazs.banfai@roche.com",
           comment = c(ORCID = "0000-0003-0422-7977")),
    person(given = "F. Hoffman-La Roche", role = c("cph", "fnd")))
Description:
    Intelligently assign samples to batches in order to reduce batch effects.
    Batch effects can have a significant impact on data analysis, especially
    when the assignment of samples to batches coincides with the contrast
    groups being studied. By defining a batch container and a scoring function
    that reflects the contrasts, this package allows users to assign samples in
    a way that minimizes the potential impact of batch effects on the
    comparison of interest. Among other functionality, we provide an
    implementation for OSAT score by Yan et al. (2012,
    <doi:10.1186/1471-2164-13-689>).
License: MIT + file LICENSE
URL: https://bedapub.github.io/designit/, https://github.com/BEDApub/designit/
BugReports: https://github.com/BEDApub/designit/issues
Depends:
    R (>= 4.1.0)
Imports: 
    rlang (>= 0.4.0),
    dplyr (>= 1.0.0),
    purrr,
    ggplot2,
    scales,
    tibble,
    tidyr,
    assertthat,
    stringr,
    R6,
    data.table,
    stats
Suggests: 
    testthat,
    roxygen2,
    pkgdown,
    knitr,
    markdown,
    rmarkdown,
    gt,
    bench,
    OSAT,
    tidyverse,
    printr,
    devtools (>= 2.0.0),
    ggpattern,
    cowplot,
    bestNormalize,
    here
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
VignetteBuilder: knitr
biocViews: