WEBVTT

00:00:00.170 --> 00:00:04.750
Give a predictor its correct R class, and np carries that meaning through the analysis.

00:00:05.200 --> 00:00:09.200
With year ordered, cross-validation tunes a discrete Li–Racine kernel;

00:00:09.550 --> 00:00:13.700
the fitted values are level-specific, and Delta is an adjacent-level difference.

00:00:14.180 --> 00:00:19.150
With year numeric, it tunes a continuous Gaussian kernel and returns an analytic derivative.

00:00:19.550 --> 00:00:22.450
Give the variable the right class; np handles the rest.
