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Rcurvep: Concentration-Response Data Analysis using Curvep

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 HsiehORCID iD [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 + fileLICENSE
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:

Reference manual:Rcurvep.html ,Rcurvep.pdf
Vignettes:Parallel Computing Examples Using Rcurvep (source,R code)
Practical applications using Rcurvep package (source,R code)

Downloads:

Package source: Rcurvep_1.3.2.tar.gz
Windows binaries: r-devel:Rcurvep_1.3.2.zip, r-release:Rcurvep_1.3.2.zip, r-oldrel:Rcurvep_1.3.2.zip
macOS binaries: r-release (arm64):Rcurvep_1.3.2.tgz, r-oldrel (arm64):Rcurvep_1.3.2.tgz, r-release (x86_64):Rcurvep_1.3.2.tgz, r-oldrel (x86_64):Rcurvep_1.3.2.tgz
Old sources: Rcurvep archive

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