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eadrm
View on CRAN: Click
here
Download and install eadrm package within the R console
Install from CRAN:
install.packages("eadrm")
Install from Github:
library("remotes")
install_github("cran/eadrm")
Install by package version:
library("remotes")
install_version("eadrm", "0.1.4")
Attach the package and use:
library("eadrm")
Maintained by
Eric Bair
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-28
Latest Update: 2022-05-29
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) .
How to cite:
Eric Bair (2020). eadrm: Fitting Dose-Response Models Using an Evolutionary Algorithm. R package version 0.1.4, https://cran.r-project.org/web/packages/eadrm
Other packages that cited eadrm R package
View eadrm citation profile
Other R packages that eadrm depends,
imports, suggests or enhances
Functions, R codes and Examples using
the eadrm R package
Some associated functions: CarboA . calc.ec . calc.ed . eadrm.ci . eadrm . plot.eadrm . predict.eadrm .
Some associated R codes: data.R . ea_curve_fitting4.R . ea_funcs.R . Full eadrm package functions and examples
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