Package: eadrm Title: Fitting Dose-Response Models Using an Evolutionary Algorithm Version: 0.1.4 Authors@R: c(person(given = "Eric", family = "Bair", role = c("aut", "cre"), email = "eric.bair@sciome.com"), person(given = "Jun", family = "Ma", role = "aut")) 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) . Depends: R (>= 2.10.0) License: GPL-3 Encoding: UTF-8 LazyData: true RoxygenNote: 7.2.0 NeedsCompilation: no Packaged: 2022-05-28 09:29:10 UTC; ebair Author: Eric Bair [aut, cre], Jun Ma [aut] Maintainer: Eric Bair Repository: CRAN Date/Publication: 2022-05-29 05:40:06 UTC