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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/66713
Title: | Time Series Forecasting using Nonlinear Growth Models: R package "tsfngm" |
Other Titles: | Not Available |
Authors: | Mrinmoy Ray K. N. Singh Kanchan Sinha Rajeev Ranjan kumar Prakash Kumar |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute |
Published/ Complete Date: | 2021-09-23 |
Project Code: | Not Available |
Keywords: | Gompertz Logistic Monomolecular Time Series nonlinear growth models |
Publisher: | The Comprehensive R Archive Network |
Citation: | Mrinmoy Ray, K. N. Singh, Kanchan Sinha, Rajeev Ranjan Kumar and Prakash Kumar (2021). Time Series Forecasting using Nonlinear Growth Models: R package "tsfngm" version 0.1.0 available at https://cran.r-project.org/web/packages/tsfngm/index.html |
Series/Report no.: | Not Available; |
Abstract/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. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Software Code or Macro |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Not Available |
NAAS Rating: | Not Available |
Volume No.: | Not Available |
Page Number: | Not Available |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | https://cran.r-project.org/web/packages/tsfngm/index.html |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/66713 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
tsfngm.pdf | 81.74 kB | Adobe PDF | View/Open |
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