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topocast() downscales a coarse raster onto fine terrain by moving-window
regression. The relationship is a formula of layer names (prec ~ elev + slope); the response and coarse predictors live in one data raster and the
fine predictors in onto. Coefficient grids are estimated with summed-area
tables, so the cost is independent of the window radius.
A time series is downscaled by passing a stack of coarse periods as anomaly:
the baseline climatology is downscaled once and each period's anomaly is carried
onto it, type = "ratio" or type = "additive".
window_regression() exposes the terra-free matrix engine.