unbiased/DESCRIPTION at main · ttscience/unbiased · GitHub

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Package: unbiased
Title: Unbiased: Production-Grade Randomization API
Version: 1.0.2
Authors@R: c(
    person("Kamil", "Sijko", , "kamil.sijko@ttsi.com.pl",
           role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2203-1065")),
    person("Kinga", "Sałata", , "kinga.salata@ttsi.com.pl",
           role = c("aut")),
    person("Aleksandra", "Duda", , "aleksandra.duda@ttsi.com.pl",
           role = c("aut")),
    person("Łukasz", "Wałejko", , "lukasz.walejko@ttsi.com.pl",
           role = c("aut")),
    person("Jagoda", "Głowacka-Walas", ,"jagoda.glowacka-walas@ttsi.com.pl",
           role = c("aut"), comment = c(ORCID = "0000-0002-7628-8691")),
    person("Laura", "Bąkała", , role = c("aut")),
    person("Michał", "Seweryn", , "michal.seweryn@biol.uni.lodz.pl",
           role = c("ctb"), comment = c(ORCID = "0000-0002-9090-3435")),
    person("Transition Technologies Science Sp. z o.o.", role = c("fnd", "cph"))
    )
Description: The Unbiased package delivers a minimization-based randomization algorithm for patient allocation in clinical trials, fully integrated with a production-ready API. It's designed to work seamlessly with a persistent PostgreSQL database, ensuring reliable data management and integrity. Packaged into precompiled Docker images, Unbiased simplifies deployment to just running docker-compose up, making it exceptionally straightforward to incorporate into your environment.
License: MIT + file LICENSE
Imports:
    checkmate,
    dbplyr,
    plumber,
    mathjaxr,
    tibble,
    tidyr,
    dplyr,
    rlang
Suggests:
    callr,
    httr2,
    RPostgres,
    pool,
    testthat (>= 3.0.0),
    usethis,
    withr,
    DBI,
    glue,
    jsonlite,
    purrr,
    knitr,
    rmarkdown,
    sentryR
RdMacros: mathjaxr
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
URL: https://ttscience.github.io/unbiased/
VignetteBuilder: knitr