An R interface for processing concentration-response datasets using Curvep, a response noise filtering algorithm. The algorithm was described in the publications (Sedykh A et al. (2011) <doi:10.1289/ehp.1002476> and Sedykh A (2016) <doi:10.1007/978-1-4939-6346-1_14>). Other parametric fitting approaches (e.g., Hill equation) are also adopted for ease of comparison. 3-parameter Hill equation from 'tcpl' package (Filer D et al., <doi:10.1093/bioinformatics/btw680>) and 4-parameter Hill equation from Curve Class2 approach (Wang Y et al., <doi:10.2174/1875397301004010057>) are available. Also, methods for calculating the confidence interval around the activity metrics are also provided. The methods are based on the bootstrap approach to simulate the datasets (Hsieh J-H et al. <doi:10.1093/toxsci/kfy258>). The simulated datasets can be used to derive the baseline noise threshold in an assay endpoint. This threshold is critical in the toxicological studies to derive the point-of-departure (POD).
Version: 1.3.2 Depends: R (≥ 3.5) Imports: dplyr (≥ 1.0.0), tibble, magrittr, tidyselect, boot, tidyr, purrr, rlang, stringr, ggplot2, Rdpack, methods, rJava, furrr Suggests: testthat, knitr, rmarkdown, tcpl, future Published: 2025-05-31 DOI: 10.32614/CRAN.package.Rcurvep Author: Jui-Hua Hsieh [aut, cre], Alexander Sedykh [aut], Fred Parham [ctb], Yuhong Wang [ctb], Tongan Zhao [aut], Ruili Huang [ctb] Maintainer: Jui-Hua Hsieh <juihua.hsieh at gmail.com> BugReports: https://github.com/moggces/Rcurvep/issues License: MIT + file LICENSE URL: https://github.com/moggces/Rcurvep, https://moggces.github.io/Rcurvep/ NeedsCompilation: no SystemRequirements: Java Language: en-US Materials: README NEWS CRAN checks: Rcurvep results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Rcurvep to link to this page.
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