Package: TWW 0.1.0
Derek Wilus
TWW: Growth Models
A model for the growth of self-limiting populations using three, four, or five parameter functions, which have wide applications in a variety of fields. The dependent variable in a dynamical modeling could be the population size at time x, where x is the independent variable. In the analysis of quantitative polymerase chain reaction (qPCR), the dependent variable would be the fluorescence intensity and the independent variable the cycle number. This package then would calculate the TWW cycle threshold.
Authors:
TWW_0.1.0.tar.gz
TWW_0.1.0.tar.gz(r-4.5-noble)TWW_0.1.0.tar.gz(r-4.4-noble)
TWW_0.1.0.tgz(r-4.4-emscripten)TWW_0.1.0.tgz(r-4.3-emscripten)
TWW.pdf |TWW.html✨
TWW/json (API)
| # Install 'TWW' in R: |
| install.packages('TWW', repos = c('https://cran.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 19 hours agofrom:e92b019c5d. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-linux | OK | Nov 21 2024 |
Exports:tww
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| TWW Growth Model | tww |