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eadrm  

Fitting Dose-Response Models Using an Evolutionary Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("eadrm", "0.1.4")



Attach the package and use:
library("eadrm")
Maintained by
Eric Bair
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-28
Latest Update: 2022-05-29
Description:
Fits dose-response models using an evolutionary algorithm to estimate the model parameters. The procedure currently can fit 3-parameter, 4-parameter, and 5-parameter log-logistic models as well as exponential models. Functions are also provided to plot, make predictions, and calculate confidence intervals for the resulting models. For details see "Nonlinear Dose-response Modeling of High-Throughput Screening Data Using an Evolutionary Algorithm", Ma, J., Bair, E., Motsinger-Reif, A.; Dose-Response 18(2):1559325820926734 (2020) .
How to cite:
Eric Bair (2020). eadrm: Fitting Dose-Response Models Using an Evolutionary Algorithm. R package version 0.1.4, https://cran.r-project.org/web/packages/eadrm. Accessed 12 Jun. 2026.
Previous versions and publish date:
0.1.2 (2020-04-28 13:20), 0.1.3 (2020-07-05 19:20)
Other packages that cited eadrm R package
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Complete documentation for eadrm
Functions, R codes and Examples using the eadrm R package
Some associated functions: CarboA . calc.ec . calc.ed . eadrm.ci . eadrm . plot.eadrm . predict.eadrm . 
Some associated R codes: data.R . ea_curve_fitting4.R . ea_funcs.R .  Full eadrm package functions and examples
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