Package: FastForecast

Type: Package

Title: FastForecast aims to provide a fast and accurate forecasting method for time series data.

Version: 1.0.0

Author: Noa Le Roux

Maintainer: The package maintainer <yourself@somewhere.net>

Description: This package takes a dataframe of several time series as input, and can correct for atypical points, seasonality and stationarity. It then generates forecasting models using 6 econometric models and 6 Machine-Learning models. It also allows you to display series graphically, calculate forecast quality indicators and display them in table form as well as graphically.

License: MIT + file LICENSE

Encoding: UTF-8

LazyData: true

RoxygenNote: 7.3.1

Suggests:

testthat (>= 3.0.0)

Config/testthat/edition: 3

Imports:

caret,

class,

crayon,

dplyr,

e1071,

earth,

forecast,

gets,

mgcv,

neuralnet,

randomForest,

seastests,

tidyr,

tseries,

tsoutliers,

xgboost

URL: https://github.com/NoaLRX/FastForecast

BugReports: https://github.com/NoaLRX/FastForecast/issues