Package: LFApp Version: 1.4.2 Date: 2026-05-05 Title: Shiny Apps for Lateral Flow Assays Authors@R: c(person("Filip", "Paskali", role = c("aut", "cre"), email = "Filip.Paskali@gmail.com", comment = c(ORCID = "0000-0002-9647-6294")), person("Weronika", "Schary", role = "aut", email = "Weronika.Schary@hs-furtwangen.de", comment = c(ORCID = "0000-0002-7229-316X")), person("Matthias", "Kohl", role = "aut", email = "Matthias.Kohl@stamats.de", comment = c(ORCID = "0000-0001-9514-8910"))) Author: Filip Paskali [aut, cre] (), Weronika Schary [aut] (), Matthias Kohl [aut] () Maintainer: Filip Paskali Description: Shiny apps for the quantitative analysis of images from lateral flow assays (LFAs). The images are segmented and background corrected and color intensities are extracted. The apps can be used to import and export intensity data and to calibrate LFAs by means of linear, loess, or gam models. The calibration models can further be saved and applied to intensity data from new images for determining concentrations. License: LGPL-3 Depends: R (>= 4.0.0) Imports: stats, utils, graphics, methods, mgcv, shiny, shinyjs, shinythemes, shinyFiles, shinyMobile (>= 0.9), EBImage, DT, ggplot2, fs Suggests: knitr, rmarkdown, remotes VignetteBuilder: knitr Encoding: UTF-8 URL: https://github.com/fpaskali/LFApp BugReports: https://github.com/fpaskali/LFApp/issues Config/pak/sysreqs: cmake libfftw3-dev make libjpeg-dev libpng-dev libtiff-dev libuv1-dev zlib1g-dev Repository: https://fpaskali.r-universe.dev Date/Publication: 2026-07-03 16:37:07 UTC RemoteUrl: https://github.com/fpaskali/lfapp RemoteRef: HEAD RemoteSha: 00c64dd5e59f2396d756684fee301762c4dcc687 NeedsCompilation: no Packaged: 2026-10-01 09:56:14 UTC; root