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forecTheta  

Forecasting Time Series by Theta Models
View on CRAN: Click here


Download and install forecTheta package within the R console
Install from CRAN:
install.packages("forecTheta")

Install from Github:
library("remotes")
install_github("cran/forecTheta")

Install by package version:
library("remotes")
install_version("forecTheta", "2.6.2")



Attach the package and use:
library("forecTheta")
Maintained by
Jose Augusto Fiorucci
[Scholar Profile | Author Map]
First Published: 2015-04-15
Latest Update: 2022-11-11
Description:
Routines for forecasting univariate time series using Theta Models.
How to cite:
Jose Augusto Fiorucci (2015). forecTheta: Forecasting Time Series by Theta Models. R package version 2.6.2, https://cran.r-project.org/web/packages/forecTheta. Accessed 05 May. 2025.
Previous versions and publish date:
1.0 (2015-04-15 21:41), 1.1 (2015-08-02 08:23), 2.0 (2016-03-02 16:43), 2.1 (2016-03-07 22:44), 2.2 (2016-05-26 09:21)
Other packages that cited forecTheta R package
View forecTheta citation profile
Other R packages that forecTheta depends, imports, suggests or enhances
Complete documentation for forecTheta
Functions, R codes and Examples using the forecTheta R package
Some associated functions: crossValidationFunctions . errorMetricFunctions . expSmoot . forecTheta-package . otm.arXiv . plot.thetaModel . thetaModels . 
Some associated R codes: crossValidationFunctions.R . errorMetricFunctions.R . forecastFunctions.R .  Full forecTheta package functions and examples
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