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Rcurvep
View on CRAN: Click
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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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.Rcurvep . https://github.com/moggces/Rcurvep/issues . https://github.com/moggces/Rcurvep . Rcurvep results . Rcurvep.pdf . Parallel Computing Examples Using Rcurvep . Practical applications using Rcurvep package . Rcurvep_1.3.1.tar.gz . Rcurvep_1.3.1.zip . Rcurvep_1.3.1.zip . Rcurvep_1.3.1.zip . Rcurvep_1.3.1.tgz . Rcurvep_1.3.1.tgz . Rcurvep_1.3.1.tgz . Rcurvep_1.3.1.tgz . Rcurvep archive . https://CRAN.R-project.org/package=Rcurvep .
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) and Sedykh A (2016) ). 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., ) and 4-parameter Hill equation from Curve Class2 approach (Wang Y et al., ) 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. ). 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. Accessed 16 Apr. 2025.
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Complete documentation for Rcurvep
Functions, R codes and Examples using
the Rcurvep R package
Some associated functions: Rcurvep . cal_knee_point . combi_run_rcurvep . create_dataset . curvep . curvep_defaults . estimate_dataset_bmr . fit_modls . get_hill_fit_config . merge_rcurvep_objs . plot.rcurvep_bmr . run_fit . run_rcurvep . summarize_fit_output . summarize_rcurvep_output . zfishbeh . zfishdev . zfishdev_act . zfishdev_all .
Some associated R codes: Rcurvep-package.R . curvep.R . datasets.R . rcurvep_bmr.R . rcurvep_checks.R . rcurvep_combirun.R . rcurvep_mergeobj.R . rcurvep_onerun.R . rcurvep_plot.R . rcurvep_print.R . rcurvep_simulate.R . rcurvep_summary.R . tcplfit_hillbase.R . tcplfit_obj.R . tcplfit_onerun.R . Full Rcurvep package functions and examples
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