Package: tsfngm 0.1.0
Mrinmoy Ray
tsfngm: Time Series Forecasting using Nonlinear Growth Models
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.
Authors:
tsfngm_0.1.0.tar.gz
tsfngm_0.1.0.tar.gz(r-4.7-any)tsfngm_0.1.0.tar.gz(r-4.6-any)
tsfngm_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
tsfngm/json (API)
| # Install 'tsfngm' in R: |
| install.packages('tsfngm', 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:448f7ed153. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 85 | ||
| source / vignettes | OK | 144 | ||
| linux-release-x86_64 | OK | 98 | ||
| wasm-release | OK | 79 |
Exports:FFNGM
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fitting and Forecasting using Nonlinear Growth Models | FFNGM |