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)
        <doi:10.1177/1559325820926734>.
Depends: R (>= 2.10.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.0
NeedsCompilation: no
Packaged: 2026-09-23 07:12:10 UTC; root
Author: Eric Bair [aut, cre], Jun Ma [aut]
Maintainer: Eric Bair <eric.bair@sciome.com>
Repository: https://ericbair-sciome.r-universe.dev
Date/Publication: 2022-05-29 04:40:06 UTC
RemoteUrl: https://github.com/cran/eadrm
RemoteRef: HEAD
RemoteSha: 88645157fc36cab9d680e970df03b55b76202eb7