Package: insane
Title: INsulin Secretion ANalysEr
Version: 1.0.3
Authors@R: 
    person(given = "Mickaël",
           family = "Canouil",
           role = c("aut", "cre"),
           email = "pro@mickael.canouil.dev",
           comment = c(ORCID = "0000-0002-3396-4549"))
Description: A user-friendly interface, using Shiny, to analyse glucose-stimulated insulin secretion (GSIS) 
    assays in pancreatic beta cells or islets.
    The package allows the user to import several sets of experiments from different spreadsheets 
    and to perform subsequent steps: summarise in a tidy format, visualise data quality 
    and compare experimental conditions without omitting to account for technical confounders 
    such as the date of the experiment or the technician.
    Together, insane is a comprehensive method that optimises pre-processing and analyses of 
    GSIS experiments in a friendly-user interface.
    The Shiny App was initially designed for EndoC-betaH1 cell line following method described 
    in Ndiaye et al., 2017 (<doi:10.1016/j.molmet.2017.03.011>).
License: MIT + file LICENSE
URL: https://github.com/mcanouil/insane/, https://m.canouil.dev/insane/
BugReports: https://github.com/mcanouil/insane/issues/
Depends: R (>= 3.6.0)
Imports: stats, utils, broom (>= 0.5.6), dplyr (>= 1.0.0), DT (>=
        0.13), ggplot2 (>= 3.3.2), ggpubr (>= 0.3.0), glue (>= 1.4.1),
        patchwork (>= 1.0.1), purrr (>= 0.3.4), readxl (>= 1.3.1),
        shiny (>= 1.5.0), tidyr (>= 1.1.0)
Suggests: covr (>= 3.5.0), roxygen2 (>= 7.1.0), knitr (>= 1.29),
        testthat (>= 2.3.2), rmarkdown (>= 2.3)
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-11-14 20:17:51 UTC; mcanouil
Author: Mickaël Canouil [aut, cre] (<https://orcid.org/0000-0002-3396-4549>)
Maintainer: Mickaël Canouil <pro@mickael.canouil.dev>
Repository: CRAN
Date/Publication: 2023-11-14 21:50:02 UTC
Built: R 4.6.0; ; 2026-01-09 05:20:24 UTC; windows
