Package: MultiGrey
Type: Package
Title: Fitting and Forecasting of Grey Model for Multivariate Time
        Series Data
Version: 0.1.0
Authors@R: c(person("Pradip","Basak", role=c("aut","cph","cre"),email="pradip@ubkv.ac.in"),person("Nobin Chandra","Paul",role=c("aut","cph"),email="nobin.paul@icar.gov.in"))
Depends: R(>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Description: Grey model is commonly used in time series forecasting when statistical assumptions are violated with a limited number of data points. The minimum number of data points
             required to fit a grey model is four observations. This package fits Grey model of First order and One Variable, i.e., GM (1,1) for multivariate time series data and returns
             the parameters of the model, model evaluation criteria and h-step ahead forecast values for each of the time series variables. For method details see, Akay, D. and Atak, M. (2007) <DOI:10.1016/j.energy.2006.11.014>,
             Hsu, L. and Wang, C. (2007).<DOI:10.1016/j.techfore.2006.02.005>.
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: zoo, stats
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-01-31 09:15:13 UTC; Pradip Basak
Author: Pradip Basak [aut, cph, cre],
  Nobin Chandra Paul [aut, cph]
Maintainer: Pradip Basak <pradip@ubkv.ac.in>
Repository: CRAN
Date/Publication: 2025-01-31 16:00:02 UTC
Built: R 4.6.0; ; 2026-04-27 11:09:40 UTC; unix
