Package: aNCA
Title: (Pre-)Clinical NCA in a Dynamic Shiny App
Version: 0.1.0
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') and configurable TLGs (tables, listings, and graphs). 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: dplyr, formatters, flextable, ggplot2, magrittr, methods,
        officer, PKNCA (>= 0.12.1), plotly, purrr, rlang, rlistings,
        scales, stats, stringr, tern, tidyr, units, utils
Encoding: UTF-8
RoxygenNote: 7.3.3
Suggests: arrow, covr, DT, ggh4x, glue, haven, htmltools, htmlwidgets,
        jsonlite, knitr, lintr (>= 3.1.2), logger, markdown, mockery,
        nestcolor, openxlsx2, pak, reactable, reactable.extras,
        rmarkdown, sass, shiny, shinycssloaders, shinyjs, shinyjqui,
        shinytest2, shinyWidgets, stringi, testthat (>= 3.0.0), tools,
        quarto, vdiffr, withr, yaml
VignetteBuilder: knitr
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 (>= 4.1)
LazyData: true
NeedsCompilation: no
Packaged: 2025-12-02 08:59:24 UTC; gerardo
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>
Repository: CRAN
Date/Publication: 2025-12-09 07:40:12 UTC
Built: R 4.6.0; ; 2026-04-29 20:17:58 UTC; windows
