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: 2022-05-28 09:29:10 UTC; ebair
Author: Eric Bair [aut, cre],
  Jun Ma [aut]
Maintainer: Eric Bair <eric.bair@sciome.com>
Repository: CRAN
Date/Publication: 2022-05-29 05:40:06 UTC
Built: R 4.3.3; ; 2025-01-24 06:56:03 UTC; unix
