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forecasteR (version 3.0.2)

Time Series Forecast System

Description

A web application for displaying, analysing and forecasting univariate time series. Includes basic methods such as mean, naïve, seasonal naïve and drift, as well as more complex methods such as Holt-Winters Box,G and Jenkins, G (1976) and ARIMA Brockwell, P.J. and R.A.Davis (1991) .

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Install

install.packages('forecasteR')

Monthly Downloads

193

Version

3.0.2

License

GPL (>= 2)

Issues

Pull Requests

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Maintainer

Oldemar Rodriguez

Last Published

November 26th, 2024

Functions in forecasteR (3.0.2)

get_start

Get ts start of a time series
grafico.errores

Error plot for all predictions
text_toDate

Convert character to dates
tabla.errores

Error table for all predictions
var.categoricas

Filter category variables of a data.frame
var.numericas

Filter numeric variables of a data.frame
dfnormal

Data.frame with normal test
RE

Relative Error
calibrar.arima

Best parameters arima model
calibrar.HW

Best parameters HoltWinters model
RSS

RSS
df_periods

Periodogram Data.frame
e_decompose

Decompose plot
e_acf

Best parameters arima model
MSE

Mean Square Error
RMSE

Root Mean Square Error
e_qq

Qplot + Qline
run_app

Run the Shiny Application
smoothing

Apply rolling to a numeric vector.
e_periods

Periodogram Plot
e_histnormal

Normal plot
e_pacf

Best parameters arima model
e_tc

Tendencia y Estacionalidad
forecasteR

Time Series Forecast System