Time Series Analysis and Forecasting Using Complex Variables

Implements the instruments for complex-valued modelling, including time series analysis and forecasting. This is based on the monograph by Svetunkov & Svetunkov (2024) .


complex package for R

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Time series analysis and forecasting using complex variables

hex-sticker of the complex package for R

The package includes basic instruments for correlation and regression analysis of complex-valued variables. The package supports the monograph by Svetunkov & Svetunkov "Complex-valued Econometrics with Examples in R", which is to be published by Springer in 2024.

Installation

Stable version can be installed from CRAN:

install.packages("complex")

For installation from github use the remotes package:

if (!require("remotes")){install.packages("remotes")}
remotes::install_github("config-i1/complex")

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("complex")

1.0.2 by Ivan Svetunkov, 8 months ago


https://github.com/config-i1/complex


Report a bug at https://github.com/config-i1/complex/issues


Browse source code at https://github.com/cran/complex


Authors: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting , Lancaster University , UK)


Documentation:   PDF Manual  


LGPL-2.1 license


Imports stats, graphics, nloptr, mvtnorm, pracma

Depends on greybox, legion

Suggests testthat, knitr, rmarkdown

Linking to Rcpp, RcppArmadillo


See at CRAN