uvirt_par: Applies the UVIRT spatiotemporal data fusion model
In mmontesinosanmartin/stfusion: What the package does (short line)

Predicts the fine image at a time tk based on a series of fine images around tk and a coarse image from that time.

1	uvirt_par(f.ts, c2, sngb.lr, sngb.wg, nsim, scale = c(0, 1))

`f.ts`	a series of fine images as a `RasterStack`
`c2`	coarse image from t2 as a `RasterBrick`
`sngb.lr`	number of neighboring pixels for the virtual image generation
`sngb.wg`	number of neighboring pixels for the residual compensation
`nsim`	number of similar pixels in each neighborhood
`scale`	the dynamic range of the image (default, `c(0,1)`