CRAN/E | Rcurvep

Rcurvep

Concentration-Response Data Analysis using Curvep

Installation

About

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).

github.com/moggces/Rcurvep
System requirements Java
Bug report File report

Key Metrics

Version 1.3.1
R ≥ 3.5
Published 2024-01-09 160 days ago
Needs compilation? no
License MIT
License File
CRAN checks Rcurvep results
Language en-US

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Maintainer

Maintainer

Jui-Hua Hsieh

Authors

Jui-Hua Hsieh

aut / cre

Alexander Sedykh

aut

Fred Parham

ctb

Yuhong Wang

ctb

Tongan Zhao

aut

Ruili Huang

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Parallel Computing Examples Using Rcurvep
Practical applications using Rcurvep package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Rcurvep archive

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