Package: FRApp 1.0.0

Gioia Di Credico

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>.

Authors:Gioia Di Credico [aut, cre, cph]

FRApp_1.0.0.tar.gz
FRApp_1.0.0.zip(r-4.7)FRApp_1.0.0.zip(r-4.6)FRApp_1.0.0.zip(r-4.5)
FRApp_1.0.0.tgz(r-4.6-any)FRApp_1.0.0.tgz(r-4.5-any)
FRApp_1.0.0.tar.gz(r-4.6-any)FRApp_1.0.0.tar.gz(r-4.5-any)
FRApp_1.0.0.tgz(r-4.5-emscripten)
FRApp.pdf |FRApp.html✨
FRApp/json (API)
NEWS

# Install 'FRApp' in R:

install.packages('FRApp', repos = c('https://gioiadc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gioiadc/frapp/issues

Datasets:

FRAPdata - FRAP analysis dataset

On CRAN:

3.70 score 220 downloads 1 exports 37 dependencies

Last updated from:cca4769a2b. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	128
source / vignettes	OK	172
linux-release-x86_64	OK	118
macos-release-arm64	OK	156
macos-oldrel-arm64	OK	230
windows-devel	OK	101
windows-release	OK	81
windows-oldrel	OK	89
wasm-release	OK	113