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: 1.2-0 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: 2025-06-13 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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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