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 + file LICENSE |
| URL: |
https://CRAN.R-project.org/package=PCRedux |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS, ChangeLog |
| CRAN checks: |
PCRedux results |