Package: eadrm 0.1.4
eadrm: Fitting Dose-Response Models Using an Evolutionary Algorithm
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>.
Authors:
eadrm_0.1.4.tar.gz
eadrm_0.1.4.zip(r-4.7-any)eadrm_0.1.4.zip(r-4.6-any)eadrm_0.1.4.zip(r-4.5-any)
eadrm_0.1.4.tgz(r-4.6-any)eadrm_0.1.4.tgz(r-4.5-any)
eadrm_0.1.4.tar.gz(r-4.7-any)eadrm_0.1.4.tar.gz(r-4.6-any)
eadrm_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
eadrm/json (API)
| # Install 'eadrm' in R: |
| install.packages('eadrm', repos = c('https://ericbair-sciome.r-universe.dev', 'https://cloud.r-project.org')) |
- CarboA - Example dose response dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:88645157fc. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 105 | ||
| source / vignettes | OK | 148 | ||
| linux-release | OK | 102 | ||
| macos-release | OK | 169 | ||
| macos-oldrel | OK | 159 | ||
| windows-devel | OK | 63 | ||
| windows-release | OK | 45 | ||
| windows-oldrel | OK | 55 | ||
| wasm-release | OK | 87 |
Exports:calc.eccalc.edeadrmeadrm.ci
Dependencies:
