Steven Sanderson builds a plot:
In time series analysis, it is common to split the data into training and testing sets to evaluate the accuracy of a model. However, it is important to ensure that the model is calibrated on the training set before evaluating its performance on the testing set. The
{healthyR.ts}
library provides a function calledcalibrate_and_plot()
that simplifies this process.
Click through for the function’s input parameters and an example of how to use it.