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dr4pl  

Dose Response Data Analysis using the 4 Parameter Logistic (4pl) Model
View on CRAN: Click here


Download and install dr4pl package within the R console
Install from CRAN:
install.packages("dr4pl")

Install from Github:
library("remotes")
install_github("cran/dr4pl")

Install by package version:
library("remotes")
install_version("dr4pl", "2.0.0")



Attach the package and use:
library("dr4pl")
Maintained by
Justin T. Landis
[Scholar Profile | Author Map]
First Published: 2017-10-22
Latest Update: 2021-08-17
Description:
Models the relationship between dose levels and responses in a pharmacological experiment using the 4 Parameter Logistic model. Traditional packages on dose-response modelling such as 'drc' and 'nplr' often draw errors due to convergence failure especially when data have outliers or non-logistic shapes. This package provides robust estimation methods that are less affected by outliers and other initialization methods that work well for data lacking logistic shapes. We provide the bounds on the parameters of the 4PL model that prevent parameter estimates from diverging or converging to zero and base their justification in a statistical principle. These methods are used as remedies to convergence failure problems. Gadagkar, S. R. and Call, G. B. (2015) Ritz, C. and Baty, F. and Streibig, J. C. and Gerhard, D. (2015) .
How to cite:
Justin T. Landis (2017). dr4pl: Dose Response Data Analysis using the 4 Parameter Logistic (4pl) Model. R package version 2.0.0, https://cran.r-project.org/web/packages/dr4pl. Accessed 07 May. 2025.
Previous versions and publish date:
1.0.0 (2017-10-22 19:50), 1.1.1 (2018-03-21 19:06), 1.1.6 (2018-08-24 18:34), 1.1.7.1 (2018-09-14 01:00), 1.1.7.4 (2018-12-03 20:10), 1.1.7.5 (2019-01-28 20:10), 1.1.8 (2019-02-24 16:50), 1.1.11 (2019-10-07 18:40)
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Complete documentation for dr4pl
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