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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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=FRApp
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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