Package: basicdrm 0.3.2

basicdrm: Fit Hill Dose Response Models
Evaluate, fit, and analyze Hill dose response models (Goutelle et al., 2008 <doi:10.1111/j.1472-8206.2008.00633.x>), also sometimes referred to as four-parameter log-logistic models. Includes tools to invert Hill models, select models based on the Akaike information criterion (Akaike, 1974 <doi:10.1109/TAC.1974.1100705>) or Bayesian information criterion (Schwarz, 1978 <https://www.jstor.org/stable/2958889>), and construct bootstrapped confidence intervals both on the Hill model parameters and values derived from the Hill model parameters.
Authors:
basicdrm_0.3.2.tar.gz
basicdrm_0.3.2.zip(r-4.7)basicdrm_0.3.2.zip(r-4.6)basicdrm_0.3.2.zip(r-4.5)
basicdrm_0.3.2.tgz(r-4.6-any)basicdrm_0.3.2.tgz(r-4.5-any)
basicdrm_0.3.2.tar.gz(r-4.7-any)basicdrm_0.3.2.tar.gz(r-4.6-any)
basicdrm_0.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
basicdrm/json (API)
| # Install 'basicdrm' in R: |
| install.packages('basicdrm', repos = c('https://nathanieltwarog.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:9f59b870cc. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 108 | ||
| source / vignettes | OK | 137 | ||
| linux-release-x86_64 | OK | 92 | ||
| macos-release-arm64 | OK | 68 | ||
| macos-oldrel-arm64 | OK | 65 | ||
| windows-devel | OK | 61 | ||
| windows-release | OK | 56 | ||
| windows-oldrel | OK | 56 | ||
| wasm-release | OK | 82 |
Exports:calcHillBootstrapcalcHillConfIntcalculateHillAUCestimateAICestimateBICevalHillModelfindBestHillModelfitHillModelinvertHillModel
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimate Bootstrapped Confidence Intervals on Hill Model Parameters | calcHillBootstrap |
| Estimate an confidence interval on a Hill model property | calcHillConfInt |
| Calculate the area under the curve for a Hill dose response model | calculateHillAUC |
| Estimate Akaike Information Criterion | estimateAIC |
| Estimate Bayesian Information Criterion | estimateBIC |
| Evaluate a Hill dose response model | evalHillModel |
| Selects a best-fitting Hill model given defaults | findBestHillModel |
| Fit a Hill dose response model to data | fitHillModel |
| Calculates the required doses of a Hill dose response model | invertHillModel |
