RetroSearch Browse

Showing content from https://cran.r-project.org/web/packages/sitar/../rmarkdown/../EMDANNhybrid/index.html below:

EMDANNhybrid: Empirical Mode Decomposition Based Artificial Neural Network Model

Application of empirical mode decomposition based artificial neural network model for nonlinear and non stationary univariate time series forecasting. For method details see (i) Choudhury (2019) <https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=55&issue=1&article=013>; (ii) Das (2020) <https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=56&issue=2&article=002>.

Version: 0.2.0 Depends: EMD, forecast Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2023-09-14 DOI: 10.32614/CRAN.package.EMDANNhybrid Author: Pankaj Das [aut, cre], Achal Lama [aut], Girish Kumar Jha [aut] Maintainer: Pankaj Das <pankaj.das2 at icar.gov.in> License: GPL-3 NeedsCompilation: no CRAN checks: EMDANNhybrid results Documentation: Reference manual: EMDANNhybrid.pdf Vignettes: EMDANNhybrid (source, R code)
Downloads: Package source: EMDANNhybrid_0.2.0.tar.gz Windows binaries: r-devel: EMDANNhybrid_0.2.0.zip, r-release: EMDANNhybrid_0.2.0.zip, r-oldrel: EMDANNhybrid_0.2.0.zip macOS binaries: r-release (arm64): EMDANNhybrid_0.2.0.tgz, r-oldrel (arm64): EMDANNhybrid_0.2.0.tgz, r-release (x86_64): EMDANNhybrid_0.2.0.tgz, r-oldrel (x86_64): EMDANNhybrid_0.2.0.tgz Old sources: EMDANNhybrid archive Linking:

Please use the canonical form https://CRAN.R-project.org/package=EMDANNhybrid to link to this page.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4