tsensembler (version 0.0.5)

bm_timeseries: Classical time series models

Description

Fit classical time series models, such as ARIMA or exponential smoothing, to a time series

Usage

bm_timeseries(form, data, lpars)

Arguments

form

formula

data

training data (see example)

lpars

list of parameters (see example)

Examples

# NOT RUN {
data("water_consumption")

x <- embed_timeseries(water_consumption, 5)[1:100,]

form <- target ~.
lpars <-
list(bm_timeseries = list(model = c("bm_arima","bm_tbats")))

bmodels <- bm_timeseries(form, x, lpars)

# }