drda: An R Package for Dose-Response Data Analysis Using Logistic Functions
Dublin Core
Title
drda: An R Package for Dose-Response Data Analysis Using Logistic Functions
Subject
curve fitting, dose-response, drug sensitivity, logistic function, nonlinear regression.
Description
Analysis of dose-response data is an important step in many scientific disciplines,
including but not limited to pharmacology, toxicology, and epidemiology. The R package
drda is designed to facilitate the analysis of dose-response data by implementing efficient
and accurate functions with a familiar interface. With drda it is possible to fit models by
the method of least squares, perform goodness-of-fit tests, and conduct model selection.
Compared to other similar packages, drda provides in general more accurate estimates
in the least-squares sense. This result is achieved by a smart choice of the starting point
in the optimization algorithm and by implementing the Newton method with a trust
region with analytical gradients and Hessian matrices. In this article, drda is presented
through the description of its methodological components and examples of its user-friendly
functions. Performance is evaluated using both synthetic data and a real, large-scale drug
sensitivity screening dataset
including but not limited to pharmacology, toxicology, and epidemiology. The R package
drda is designed to facilitate the analysis of dose-response data by implementing efficient
and accurate functions with a familiar interface. With drda it is possible to fit models by
the method of least squares, perform goodness-of-fit tests, and conduct model selection.
Compared to other similar packages, drda provides in general more accurate estimates
in the least-squares sense. This result is achieved by a smart choice of the starting point
in the optimization algorithm and by implementing the Newton method with a trust
region with analytical gradients and Hessian matrices. In this article, drda is presented
through the description of its methodological components and examples of its user-friendly
functions. Performance is evaluated using both synthetic data and a real, large-scale drug
sensitivity screening dataset
Creator
Alina Malyutina
Source
https://www.jstatsoft.org/article/view/v106i04
Publisher
University of Helsinki
Date
March 2023
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Alina Malyutina, “drda: An R Package for Dose-Response Data Analysis Using Logistic Functions,” Repository Horizon University Indonesia, accessed May 12, 2025, https://repository.horizon.ac.id/items/show/8295.