Package: tsfngm
Type: Package
Title: Time Series Forecasting using Nonlinear Growth Models
Version: 0.1.0
Authors@R: c(person("Mrinmoy", "Ray", role = c("aut", "cre"),
                     email = "mrinmoy4848@gmail.com"),
              person("K. N.", "Singh", role = "ctb"),
              person("Kanchan", "Sinha", role = "ctb"),
              person("Rajeev Ranjan", "Kumar", role = "ctb"),
              person("Prakash", "Kumar", role = "ctb"))
Author: Mrinmoy Ray [aut, cre],
  K. N. Singh [ctb],
  Kanchan Sinha [ctb],
  Rajeev Ranjan Kumar [ctb],
  Prakash Kumar [ctb]
Maintainer: Mrinmoy Ray <mrinmoy4848@gmail.com>
Depends: R (>= 2.6),stats
Description: 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. 
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Packaged: 2021-09-23 17:18:58 UTC; pc
Repository: CRAN
Date/Publication: 2021-09-23 18:30:02 UTC
Built: R 4.6.0; ; 2026-04-25 22:56:51 UTC; unix
