CRAN v0.5.0

New features

• Added the IRF() generic and appropriate mable methods for computing
  impulse response functions from fitted models.
• It is now possible to generate() bootstrap sample paths for
  multivariate models.

Improvements

• Added support for multivariate model forecasting with transformation using
  sample paths.
• Performance improvements relating to forecasting with transformations and
  sample paths.
• Forecast plots now explicitly use marginal distributions for plotting
  forecast intervals from multivariate distributions.
• Added optional progress reporting when producing forecasts, it can be
  enabled using progressr::with_progress()

Bug fixes

• Fixed issue with autoplot() and length 1 forecasts (#400).