Probabilistic Time Series Cross-Validation with R package crossvalidation

Demonstrates how to use the R `crossvalidation` package for probabilistic time series cross-validation. Two examples using the AirPassengers dataset show how to evaluate forecast quality beyond point accuracy — measuring empirical coverage rates and Winkler scores for 80% and 95% prediction intervals using the `crossval_ts` function with `forecast::thetaf`.