forecTheta: Forecasting Time Series by Theta Models
Version 2.2

Routines for forecasting univariate time series using Theta Models. Contains several cross-validation routines.

AuthorJose Augusto Fiorucci, Francisco Louzada and Bao Yiqi
Date of publication2016-05-26 09:21:12
MaintainerJose Augusto Fiorucci <jafiorucci@gmail.com>
LicenseGPL (>= 2)
Version2.2
URL http://arxiv.org/abs/1503.03529
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("forecTheta")

Getting started

Package overview

Popular man pages

crossValidationFunctions: Generalised Rolling Origin Evaluation
errorMetricFunctions: Error Metric Function
expSmoot: Simple Exponential Smoothing Method
forecTheta-package: Forecasting Time Series by Theta Models
otm.arXiv: Optimised Theta Method
plot.thetaModel: Plot forecasts points and prediction intervals for...
thetaModels: Theta Models
See all...

All man pages Function index File listing

Man pages

crossValidationFunctions: Generalised Rolling Origin Evaluation
errorMetricFunctions: Error Metric Function
expSmoot: Simple Exponential Smoothing Method
forecTheta-package: Forecasting Time Series by Theta Models
otm.arXiv: Optimised Theta Method
plot.thetaModel: Plot forecasts points and prediction intervals for...
thetaModels: Theta Models

Functions

Files

NAMESPACE
R
R/errorMetricFunctions.R
R/crossValidationFunctions.R
R/forecastFunctions.R
MD5
DESCRIPTION
ChangeLog
man
man/crossValidationFunctions.Rd
man/forecTheta-package.Rd
man/expSmoot.Rd
man/thetaModels.Rd
man/errorMetricFunctions.Rd
man/otm.arXiv.Rd
man/plot.thetaModel.Rd
forecTheta documentation built on May 19, 2017, 6:20 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.