Makes the time series prediction easier by automatizing this process using four main functions: prep(), modl(), pred() and postp(). Features different preprocessing methods to homogenize variance and to remove trend and seasonality. Also has the potential to bring together different predictive models to make comparatives. Features ARIMA and Data Mining Regression models (using caret).
|Author||Alberto Vico Moreno [aut, cre], Antonio Jesus Rivera Rivas [aut, ths], Maria Dolores Perez Godoy [aut, ths]|
|Date of publication||2018-04-29 13:54:50 UTC|
|Maintainer||Alberto Vico Moreno <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.