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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 |
| 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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These binaries (installable software) and packages are in development.
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