Augment data and estimate ranger model

Augment data and estimate ranger model

ranger_fun(model_sample, seed = 777, target = "value", h = 1)

Arguments

model_sample

tsibble that will be augmented with trend etc
seed

random seed
target

name of the target variable
h

forecasting horizon

Value

ranger model

Details

Augment data and estimate random forest (ranger) model. Trend, fourier terms, lags are added before estimation of lasso model.

Examples

test_ts = stats::ts(rnorm(100), start = c(2000, 1), freq = 12)
test_tsibble = tsibble::as_tsibble(test_ts)
model = ranger_fun(test_tsibble)