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eadrm (version 0.1.4)

Fitting Dose-Response Models Using an Evolutionary Algorithm

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) .

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Version

Install

install.packages('eadrm')

Monthly Downloads

172

Version

0.1.4

License

GPL-3

Maintainer

Eric Bair

Last Published

May 29th, 2022

Functions in eadrm (0.1.4)

plot.eadrm

Plot an eadrm object
calc.ec

Calculates EC50 (or some other specified EC value)
calc.ed

Finds the dose that corresponds to a particular level of the response
CarboA

Example dose response dataset
eadrm

Fits a dose-response curve using an evolutionary algorithm
eadrm.ci

Computes confidence intervals for an eadrm model fit
predict.eadrm

Makes predictions from an eadrm object