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Nonlinear growth models are extremely useful in gaining insight into the underlying mechanism. These models are generally 'mechanistic,' with parameters that have biological meaning. This package allows you to fit and forecast time series data using nonlinear growth models.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.6), stats |
| Published: | 2021-09-23 |
| DOI: | 10.32614/CRAN.package.tsfngm |
| Author: | Mrinmoy Ray [aut, cre], K. N. Singh [ctb], Kanchan Sinha [ctb], Rajeev Ranjan Kumar [ctb], Prakash Kumar [ctb] |
| Maintainer: | Mrinmoy Ray <mrinmoy4848 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | tsfngm results |
| Reference manual: | tsfngm.pdf |
| Package source: | tsfngm_0.1.0.tar.gz |
| Windows binaries: | r-devel: tsfngm_0.1.0.zip, r-release: tsfngm_0.1.0.zip, r-oldrel: tsfngm_0.1.0.zip |
| macOS binaries: | r-release (arm64): tsfngm_0.1.0.tgz, r-oldrel (arm64): tsfngm_0.1.0.tgz, r-release (x86_64): tsfngm_0.1.0.tgz, r-oldrel (x86_64): tsfngm_0.1.0.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.