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
DOI:	10.32614/CRAN.package.MB
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.html , MB.pdf
Vignettes:	MB (source, R code)

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, r-oldrel (x86_64): MB_0.1.1.tgz
Old sources:	MB archive

Linking:

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