Empirical Mode Decomposition Based Support Vector Regression Model
Overview
Description: Application of empirical mode decomposition based support vector regression model for nonlinear and non stationary univariate time series forecasting. For method details see (i) Choudhury (2019) http://krishi.icar.gov.in/jspui/handle/123456789/44873; (ii) Das (2020) http://krishi.icar.gov.in/jspui/handle/123456789/43174; (iii) Das (2023) http://krishi.icar.gov.in/jspui/handle/123456789/77772.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 1
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
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- Help pages citing references
- 100%
- EMD based SVR model HTML
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
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- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.02021-01-09
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-01-09
- Total releases
- 2 / 5 yrs
- License
- GPL-3 OSI
- Download size
- 12 KB
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