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.


Reference manual

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install.packages("tsfngm")

0.1.0 by Mrinmoy Ray, 5 years ago


Browse source code at https://github.com/cran/tsfngm


Authors: Mrinmoy Ray [aut, cre] , K. N. Singh [ctb] , Kanchan Sinha [ctb] , Rajeev Ranjan Kumar [ctb] , Prakash Kumar [ctb]


Documentation:   PDF Manual  


GPL-3 license


Depends on stats


See at CRAN