insane: INsulin Secretion ANalysEr

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>).

Version:	1.0.3
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)
Published:	2023-11-14
Author:	Mickaël Canouil [aut, cre]
Maintainer:	Mickaël Canouil <pro at mickael.canouil.dev>
BugReports:	https://github.com/mcanouil/insane/issues/
License:	MIT + file LICENSE
URL:	https://github.com/mcanouil/insane/, https://m.canouil.dev/insane/
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	insane results

Documentation:

Reference manual:	insane.pdf
Vignettes:	insane: INsulin Secretion ANalysEr insane: Experimental Protocol

Downloads:

Package source:	insane_1.0.3.tar.gz
Windows binaries:	r-devel: insane_1.0.3.zip, r-release: insane_1.0.3.zip, r-oldrel: insane_1.0.3.zip
macOS binaries:	r-release (arm64): insane_1.0.3.tgz, r-oldrel (arm64): insane_1.0.3.tgz, r-release (x86_64): insane_1.0.3.tgz, r-oldrel (x86_64): insane_1.0.3.tgz
Old sources:	insane archive

Linking:

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