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tsfngm  

Time Series Forecasting using Nonlinear Growth Models
View on CRAN: Click here


Download and install tsfngm package within the R console
Install from CRAN:
install.packages("tsfngm")

Install from Github:
library("remotes")
install_github("cran/tsfngm")

Install by package version:
library("remotes")
install_version("tsfngm", "0.1.0")



Attach the package and use:
library("tsfngm")
Maintained by
Mrinmoy Ray
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-23
Latest Update: 2021-09-23
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.
How to cite:
Mrinmoy Ray (2021). tsfngm: Time Series Forecasting using Nonlinear Growth Models. R package version 0.1.0, https://cran.r-project.org/web/packages/tsfngm. Accessed 28 Jan. 2025.
Previous versions and publish date:
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Complete documentation for tsfngm
Functions, R codes and Examples using the tsfngm R package
Some associated functions: FFNGM . 
Some associated R codes: FFNGM.R .  Full tsfngm package functions and examples
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