Other packages > Find by keyword >

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) 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 21 Dec. 2024.
Previous versions and publish date:
1.2.0 (2021-01-07 20:10), 1.2.1 (2022-08-25 17:42)
Other packages that cited Rcurvep R package
View Rcurvep citation profile
Other R packages that Rcurvep depends, imports, suggests or enhances
Complete documentation for Rcurvep
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

helda  
Preprocess Data and Get Better Insights from Machine Learning Models
The main focus is on preprocessing and data visualization of machine learning models performances.So ...
Download / Learn more Package Citations See dependency  
condGEE  
Parameter Estimation in Conditional GEE for Recurrent Event Gap Times
Solves for the mean parameters, the variance parameter, and their asymptotic variance in a condition ...
Download / Learn more Package Citations See dependency  
SEIRfansy  
Extended Susceptible-Exposed-Infected-Recovery Model
Extended Susceptible-Exposed-Infected-Recovery Model for handling high false negative rate and symp ...
Download / Learn more Package Citations See dependency  
CIFsmry  
Weighted summary of cumulative incidence functions
Estimate of cumulative incidence function in two samples. Provide weighted summary statistics based ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
batteryreduction  
An R Package for Data Reduction by Battery Reduction
Battery reduction is a method used in data reduction. It uses Gram-Schmidt orthogonal rotations to f ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA