Fit a linear model with time series components

The model formula will be handled using stats::model.matrix(), and so the the same approach to include interactions in stats::lm() applies when specifying the formula. In addition to stats::lm(), it is possible to include common_xregs in the model formula, such as trend(), season(), and fourier().

Usage

LOGISTIC(formula)

Arguments

formula

Model specification.

Value

A model specification.

Specials

xreg

Exogenous regressors can be included in a LOGISTIC model without explicitly using the xreg() special. Common exogenous regressor specials as specified in common_xregs can also be used. These regressors are handled using stats::model.frame(), and so interactions and other functionality behaves similarly to stats::lm().

xreg(...)

...	Bare expressions for the exogenous regressors (such as log(x))

See also

stats::lm(), stats::model.matrix() Forecasting: Principles and Practices, Time series regression models (chapter 6)

Examples

melb_rain |>
  model(logistic = LOGISTIC(Wet ~ fourier(K = 5, period = "year")))
#> # A mable: 1 x 1
#>     logistic
#>      <model>
#> 1 <LOGISTIC>