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.

Getting started

Package details

AuthorMrinmoy Ray [aut, cre], K. N. Singh [ctb], Kanchan Sinha [ctb], Rajeev Ranjan Kumar [ctb], Prakash Kumar [ctb]
MaintainerMrinmoy Ray <mrinmoy4848@gmail.com>
Package repositoryView on CRAN
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tsfngm documentation built on Sept. 24, 2021, 1:07 a.m.