MB: The Use of Marginal Distributions in Conditional Forecasting

A new way to predict time series using the marginal distribution table in the absence of the significance of traditional models.

Version: 0.1.1
Imports: tibble
Suggests: knitr, rmarkdown
Published: 2023-01-06
Author: Mohamad-Taher Anan [aut], Mohamad Alawad [aut], Bushra Alsaeed [aut, cre]
Maintainer: Bushra Alsaeed <alsaeedbushra41 at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: MB results

Documentation:

Reference manual: MB.pdf
Vignettes: MB

Downloads:

Package source: MB_0.1.1.tar.gz
Windows binaries: r-devel: MB_0.1.1.zip, r-release: MB_0.1.1.zip, r-oldrel: MB_0.1.1.zip
macOS binaries: r-release (arm64): MB_0.1.1.tgz, r-oldrel (arm64): MB_0.1.1.tgz, r-release (x86_64): MB_0.1.1.tgz
Old sources: MB archive

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