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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>.
| Version: | 1.0 |
| Depends: | R (≥ 4.0) |
| Imports: | ggplot2, Rfast, Rfast2, stats |
| Published: | 2022-11-28 |
| DOI: | 10.32614/CRAN.package.nlgm |
| Author: | Michail Tsagris [aut, cre], Nikolaos Pandis [aut] |
| Maintainer: | Michail Tsagris <mtsagris at uoc.gr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | nlgm results |
| Reference manual: | nlgm.pdf |
| Package source: | nlgm_1.0.tar.gz |
| Windows binaries: | r-devel: nlgm_1.0.zip, r-release: nlgm_1.0.zip, r-oldrel: nlgm_1.0.zip |
| macOS binaries: | r-release (arm64): nlgm_1.0.tgz, r-oldrel (arm64): nlgm_1.0.tgz, r-release (x86_64): nlgm_1.0.tgz, r-oldrel (x86_64): nlgm_1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.