Package: aNCA
Title: (Pre-)Clinical NCA in a Dynamic Shiny App
Version: 0.1.0.9208
Authors@R: c(
    person("Ercan", "Suekuer", email = "ercan.suekuer@roche.com", role = "aut",
           comment = c(ORCID = "0009-0001-1626-1526")),
    person("Gerardo Jose", "Rodriguez", email = "gerardo.jrac@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-1413-0060")),
    person("Pascal", "Baertschi", email = "paesce.26@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0002-6533-0399")),
    person("Jana", "Spinner", email = "spinnerjana@gmail.com", role = "aut",
           comment = c(ORCID = "0009-0009-2197-9530")),
    person("Mateusz", "Kolomanski", email = "mateusz.kolomanski@appsilon.com", role = "aut",
           comment = c(ORCID = "0000-0001-7424-3919")),
    person("Lucy", "Aspridis", email = "lucy.aspridis@gmail.com", role = "aut",
           comment = c(ORCID = "0009-0003-1300-3622")),
    person("Valentin", "Legras", email = "anca.pharmaverse@gmail.com", role = c("aut", "cre")),
    person("F. Hoffmann-La Roche AG", role = c("cph", "fnd"))
  )
Description: An interactive 'shiny' application for performing
        non-compartmental analysis (NCA) on pre-clinical and clinical
        pharmacokinetic data. The package builds on 'PKNCA' for core
        estimators and provides interactive visualizations, CDISC
        outputs ('ADNCA', 'PP', 'ADPP'), configurable TLGs (tables,
        listings, and graphs) and draft slide decks. Typical use cases
        include exploratory analysis, validation, reporting or
        teaching/demonstration of NCA methods. Methods and core
        estimators are described in Denney, Duvvuri, and Buckeridge
        (2015) "Simple, Automatic Noncompartmental Analysis: The PKNCA
        R Package" <doi:10.1007/s10928-015-9432-2>.
License: Apache License (>= 2)
Imports: bslib, dplyr, formatters, ggplot2, glue, grid, htmltools,
        htmlwidgets, logger, magrittr, PKNCA (>= 0.12.1), plotly (>=
        4.11.0), purrr, reactable, reactable.extras, rlang, shiny,
        shinycssloaders, shinyjs, shinyjqui, shinyWidgets, stats,
        tidyr, tools, units, writexl, yaml, zip
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Suggests: arrow, covr, DT, flextable, ggh4x, haven, jsonlite, knitr,
        lintr (>= 3.2.0), markdown, mockery, officer, pak, readxl,
        rlistings, rmarkdown, sass, scales, shinytest2, testthat (>=
        3.0.0), usethis, quarto, vdiffr, withr
Config/testthat/edition: 3
Language: en-US
URL: https://pharmaverse.github.io/aNCA/,
        https://github.com/pharmaverse/aNCA
BugReports: https://github.com/pharmaverse/aNCA/issues
Depends: R (>= 4.4), utils
LazyData: true
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
        libudunits2-dev zlib1g-dev
Repository: https://pharmaverse.r-universe.dev
Date/Publication: 2026-10-13 15:48:33 UTC
RemoteUrl: https://github.com/pharmaverse/anca
RemoteRef: HEAD
RemoteSha: f8d921bfc8abc0b8ab0cbac6fe65cba58efdefed
NeedsCompilation: no
Packaged: 2026-10-13 19:32:27 UTC; root
Author: Ercan Suekuer [aut] (ORCID: <https://orcid.org/0009-0001-1626-1526>),
  Gerardo Jose Rodriguez [aut] (ORCID:
    <https://orcid.org/0000-0003-1413-0060>),
  Pascal Baertschi [aut] (ORCID: <https://orcid.org/0000-0002-6533-0399>),
  Jana Spinner [aut] (ORCID: <https://orcid.org/0009-0009-2197-9530>),
  Mateusz Kolomanski [aut] (ORCID:
    <https://orcid.org/0000-0001-7424-3919>),
  Lucy Aspridis [aut] (ORCID: <https://orcid.org/0009-0003-1300-3622>),
  Valentin Legras [aut, cre],
  F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Valentin Legras <anca.pharmaverse@gmail.com>