generate_ts: Generate time series from random parameter spaces of the...

In ykang/tsgeneration: Generating Time Series with Diverse and Controllable Characteristics

Generate time series from random parameter spaces of the mixture autoregressive (MAR) models.

Description

Deprecated function. Please use mar_model() and generate.mar() instead. Generate time series from random parameter spaces of the mixture autoregressive (MAR) models.

Usage

generate_ts(n.ts = 1, freq = 1, nComp = NULL, n = 120, output_format = "list")

Arguments

n.ts	number of time series to be generated.
freq	seasonal period of the time series to be generated.
nComp	number of mixing components when simulating time series using MAR models.
n	length of the generated time series.
output_format	An optional argument which allows to choose output format between "list" and "tsibble"

Value

A list of time series together with the SARIMA coefficients used in each mixing component and the corresponding mixing weights.

Author(s)

Yanfei Kang and Feng Li

References

Wong, CS & WK Li (2000).

Examples

x <- generate_ts(n.ts = 2, freq = 12, nComp = 2, n = 120)
x$N1$pars
forecast::autoplot(x$N1$x)

ykang/tsgeneration documentation built on April 8, 2024, 5:23 a.m.