FRApp: FRAP Data Analysis Using Nonlinear Mixed Effect Models with 'shiny'

Analysis of Fluorescence Recovery After Photobleaching (FRAP) experiments using nonlinear mixed-effects regression models and analysis of the results. 'FRApp' is not limited to the analysis of FRAP experiments only. Any nonlinear mixed-effects models with an asymptotic exponential functional relationship to hierarchical data in various domains can be fitted. The analysis of data available in the package is presented in Di Credico, G., Pelucchi, S., Pauli, F. et al. (2025) <doi:10.1038/s41598-025-87154-w>.

Version:	1.0.0
Depends:	R (≥ 2.10)
Imports:	nlme, shiny, gplots, grDevices, graphics, methods, stats, utils
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2025-02-24
DOI:	10.32614/CRAN.package.FRApp
Author:	Gioia Di Credico [aut, cre, cph]
Maintainer:	Gioia Di Credico <gioia.dicredico at deams.units.it>
BugReports:	https://github.com/gioiadc/FRApp/issues
License:	GPL (≥ 3)
URL:	https://github.com/gioiadc/FRApp
NeedsCompilation:	no
Citation:	FRApp citation info
Materials:	README NEWS
CRAN checks:	FRApp results

Documentation:

Reference manual:	FRApp.pdf
Vignettes:	FRApp Package Vignette: Analyzing FRAP Data (source, R code)

Downloads:

Package source:	FRApp_1.0.0.tar.gz
Windows binaries:	r-devel: FRApp_1.0.0.zip, r-release: FRApp_1.0.0.zip, r-oldrel: FRApp_1.0.0.zip
macOS binaries:	r-devel (arm64): FRApp_1.0.0.tgz, r-release (arm64): FRApp_1.0.0.tgz, r-oldrel (arm64): FRApp_1.0.0.tgz, r-devel (x86_64): FRApp_1.0.0.tgz, r-release (x86_64): FRApp_1.0.0.tgz, r-oldrel (x86_64): FRApp_1.0.0.tgz

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