Extracts features from amplification curve data of quantitative Polymerase Chain Reactions (qPCR) according to Pabinger et al. 2014 <doi:10.1016/j.bdq.2014.08.002> for machine learning purposes. Helper functions prepare the amplification curve data for processing as functional data (e.g., Hausdorff distance) or enable the plotting of amplification curve classes (negative, ambiguous, positive). The hookreg() and hookregNL() functions of Burdukiewicz et al. (2018) <doi:10.1016/j.bdq.2018.08.001> can be used to predict amplification curves with an hook effect-like curvature. The pcrfit_single() function can be used to extract features from an amplification curve.
| Version: | 1.2-1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | changepoint,chipPCR,ecp,fda.usc,MBmca,pbapply,pracma,qpcR,robustbase,segmented,shiny, stats, utils,zoo |
| Suggests: | DT,future,knitr,listenv,RDML,readxl,rmarkdown,shinycssloaders,spelling,testthat,xtable |
| Published: | 2025-11-19 |
| DOI: | 10.32614/CRAN.package.PCRedux |
| Author: | Stefan Roediger [aut], Michal Burdukiewicz [aut], Andrej-Nikolai Spiess [cre, aut], Konstantin A. Blagodatskikh [aut], Dominik Rafacz [ctb] |
| Maintainer: | Andrej-Nikolai Spiess <draspiess at gmail.com> |
| BugReports: | https://github.com/PCRuniversum/PCRedux/issues |
| License: | MIT + fileLICENSE |
| URL: | https://CRAN.R-project.org/package=PCRedux |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README,NEWS,ChangeLog |
| CRAN checks: | PCRedux results |