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Rcurvep  

Concentration-Response Data Analysis using Curvep
View on CRAN: Click here


Download and install Rcurvep package within the R console
Install from CRAN:
install.packages("Rcurvep")

Install from Github:
library("remotes")
install_github("cran/Rcurvep")

Install by package version:
library("remotes")
install_version("Rcurvep", "1.3.1")



Attach the package and use:
library("Rcurvep")
Maintained by
Jui-Hua Hsieh
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-07
Latest Update: 2022-08-25
Description:
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).
How to cite:
Jui-Hua Hsieh (2021). Rcurvep: Concentration-Response Data Analysis using Curvep. R package version 1.3.1, https://cran.r-project.org/web/packages/Rcurvep
Previous versions and publish date:
1.2.0 (2021-01-07 20:10), 1.2.1 (2022-08-25 17:42)
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