run_arima: Run this first. It applies the ARIMA to predict future values...

In tlcaputi/gtrendR: An R Complement to the gtrends Python package

Run this first. It applies the ARIMA to predict future values and then produces a dataset with the actual and fitted values.

Description

Run this first. It applies the ARIMA to predict future values and then produces a dataset with the actual and fitted values.

Usage

run_arima(
  df,
  interrupt,
  begin = T,
  end = T,
  geo = "US",
  kalman = F,
  bootstrap = F,
  bootnum = 1000,
  linear = F,
  rsv = F,
  periods = NA,
  maxK = 5,
  first_differencing = NA,
  seasonal_differencing = NA
)

Arguments

df	A dataframe including time as timestamp and searches for your given geography in one column.
interrupt	The date where things change. ARIMA will be predicted on all days before the interrupt.
geo	The column name of the geography of searches that you want.
polycolor	What color do you want the polygon to be?.

Examples

run_arima(df = data, interrupt = ymd("2019-12-19"), geo = "US")

tlcaputi/gtrendR documentation built on Nov. 3, 2022, 10:46 p.m.