plot_components: Plot state components of an 'tulip' model

In timradtke/heuristika: Robust Probabilistic Forecasts to Tinker With

Plot state components of an tulip model

Description

This function requires the ggplot2. Whether its namespace is available will be checked when the function is run. ggplot2 is only suggested, not a default import.

Usage

plot_components(object, date = NULL, scales = c("free", "fixed")[1])

Arguments

object	Fitted model object returned by tulip()
date	Optional additional vector with dates in format that can be cast to YYYY-MM-DD with same length as object$y, used to create x-axis
scales	One of free or fixed, passed to the scales argument of ggplot2::facet_grid()

Examples

set.seed(4278)
y <- rt(100, df = 10) * 10 + 1:100

fitted <- tulip(y = y, m = 12, family = "norm")
tulip:::plot_components(object = fitted)

timradtke/heuristika documentation built on April 24, 2023, 1:55 a.m.