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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=eadrm
to link to this page.