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FRApp  

FRAP Data Analysis Using Nonlinear Mixed Effect Models with 'shiny'
View on CRAN: Click here


Download and install FRApp package within the R console
Install from CRAN:
install.packages("FRApp")

Install from Github:
library("remotes")
install_github("cran/FRApp")

Install by package version:
library("remotes")
install_version("FRApp", "1.0.0")



Attach the package and use:
library("FRApp")
Maintained by
Gioia Di Credico
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-24
Latest Update: 2025-02-24
Description:
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>.
How to cite:
Gioia Di Credico (2025). FRApp: FRAP Data Analysis Using Nonlinear Mixed Effect Models with 'shiny'. R package version 1.0.0, https://cran.r-project.org/web/packages/FRApp. Accessed 24 Oct. 2026.
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Complete documentation for FRApp
Functions, R codes and Examples using the FRApp R package
Full FRApp package functions and examples
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