Package: nlgm 1.0
Michail Tsagris
nlgm: Non Linear Growth Models
Six growth models are fitted using non-linear least squares. These are the Richards, the 3, 4 and 5 parameter logistic, the Gompetz and the Weibull growth models. Reference: Reddy T., Shkedy Z., van Rensburg C. J., Mwambi H., Debba P., Zuma K. and Manda, S. (2021). "Short-term real-time prediction of total number of reported COVID-19 cases and deaths in South Africa: a data driven approach". BMC medical research methodology, 21(1), 1-11. <doi:10.1186/s12874-020-01165-x>.
Authors:
nlgm_1.0.tar.gz
nlgm_1.0.tar.gz(r-4.7-any)nlgm_1.0.tar.gz(r-4.6-any)
nlgm_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
nlgm/json (API)
| # Install 'nlgm' in R: |
| install.packages('nlgm', 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 from:820fbfb6fd. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 146 | ||
| source / vignettes | OK | 156 | ||
| linux-release-x86_64 | OK | 134 | ||
| wasm-release | OK | 113 |
Dependencies:BHclicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcppRcppArmadilloRcppParallelRfastRfast2rlangRnanoflannS7scalesvctrsviridisLitewithrzigg
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| This is an R package that fits 6 non linear growth models. | nlgm-package |
| Non-linear growth models | nlgm |
| Parametric bootstrap prediction intervals | boot.pred |
| Plot of the fitted values of the non-linear growth models | fit.plot |