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-4.5)eadrm_0.1.4.zip(r-4.4)eadrm_0.1.4.zip(r-4.3)
eadrm_0.1.4.tgz(r-4.4-any)eadrm_0.1.4.tgz(r-4.3-any)
eadrm_0.1.4.tar.gz(r-4.5-noble)eadrm_0.1.4.tar.gz(r-4.4-noble)
eadrm_0.1.4.tgz(r-4.4-emscripten)eadrm_0.1.4.tgz(r-4.3-emscripten)
eadrm.pdf |eadrm.html✨
eadrm/json (API)
NEWS
| # 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 2 years agofrom:88645157fc. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
| R-4.4-win | OK | Nov 04 2024 |
| R-4.4-mac | OK | Nov 04 2024 |
| R-4.3-win | OK | Nov 04 2024 |
| R-4.3-mac | OK | Nov 04 2024 |
Exports:calc.eccalc.edeadrmeadrm.ci
Dependencies:
