plot_fitted: Plot fitted values of an 'tulip' model

In timradtke/heuristika: Robust Probabilistic Forecasts to Tinker With

Plot fitted values 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_fitted(object, date = NULL, show_anomalies = TRUE, show_params = TRUE)

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
show_anomalies	Logical; when TRUE (default), observations that were treated as anomalies during model fit will be marked in orange
show_params	Logical; if TRUE (default) then fitted params will be displayed using ggplot2::facet_wrap()

Examples

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

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

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