Rcurvep: Concentration-Response Data Analysis using Curvep

Provide 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. 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: 1.2.0
Depends: R (≥ 3.5)
Imports: dplyr (≥ 0.7), tibble, magrittr, tidyselect, boot, tidyr, purrr, rlang, stringr, ggplot2, Rdpack, methods
Suggests: testthat, knitr, rmarkdown, tcpl
Published: 2021-01-07
Author: Jui-Hua Hsieh [aut, cre], Alexander Sedykh [aut]
Maintainer: Jui-Hua Hsieh <juihua.hsieh at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: Rcurvep results

Downloads:

Reference manual: Rcurvep.pdf
Vignettes: practical_rcurvep
Package source: Rcurvep_1.2.0.tar.gz
Windows binaries: r-devel: Rcurvep_1.2.0.zip, r-release: Rcurvep_1.2.0.zip, r-oldrel: Rcurvep_1.2.0.zip
macOS binaries: r-release (arm64): Rcurvep_1.2.0.tgz, r-release (x86_64): Rcurvep_1.2.0.tgz, r-oldrel: Rcurvep_1.2.0.tgz

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