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.
- Version0.1.0
- R version≥ 2.6 stats
- LicenseGPL-3
- Needs compilation?No
- Last release09/23/2021
Team
Mrinmoy Ray
K. N. Singh
Show author detailsRolesContributorKanchan Sinha
Show author detailsRolesContributorRajeev Ranjan Kumar
Show author detailsRolesContributorPrakash Kumar
Show author detailsRolesContributor
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- Depends1 package