eadrm: Fitting Dose-Response Models Using an Evolutionary Algorithm

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) <doi:10.1177/1559325820926734>.

Version: 0.1.4
Depends: R (≥ 2.10.0)
Published: 2022-05-29
DOI: 10.32614/CRAN.package.eadrm
Author: Eric Bair [aut, cre], Jun Ma [aut]
Maintainer: Eric Bair <eric.bair at sciome.com>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: eadrm results


Reference manual: eadrm.pdf


Package source: eadrm_0.1.4.tar.gz
Windows binaries: r-devel: eadrm_0.1.4.zip, r-release: eadrm_0.1.4.zip, r-oldrel: eadrm_0.1.4.zip
macOS binaries: r-release (arm64): eadrm_0.1.4.tgz, r-oldrel (arm64): eadrm_0.1.4.tgz, r-release (x86_64): eadrm_0.1.4.tgz, r-oldrel (x86_64): eadrm_0.1.4.tgz
Old sources: eadrm archive


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