Adding raster representing the fitted effect

This layer adds a raster or heat-map representing a fitted multidimensional effect.

l_fitRaster(pTrans = function(.p) 1, noiseup = FALSE, mul = 1, ...)

Arguments

pTrans	a function from (0, 1) to (0, 1) which takes as input a p-value and returns a value, `alpha`, which will be passed on to ggplot2::geom_raster, and will determine the opacity of the heat-map. The p-value quantifies the significance of the smooth effect at each location (x1, x2). By default `pTrans` returns 1, but if we set it to, say, `pTrans = function(.p) .p<0.05` then the regions with p-values higher than 0.05 will disappear. The zto1 function can be used to specify `pTrans` in a flexible way.
noiseup	if `TRUE` the fitted effect, mu(x1, x2), will be perturbed with random noise before being plotted. That is, at each location (x1, x2) a random variable z(x1, x2) ~ N(0, mul * V(x1, x2)) will be added to mu(x1, x2). Here V(x1, x2) is the estimated variance of mu(x1, x2) and `mul` is a scalar multiplier (see next argument). This is useful for understanding in which areas the smooth is more uncertain, as these areas will appear more noisy.
mul	positive multiplier that scales the variance of the fitted effect. See the `noiseup` argument.
...	graphical arguments to be passed to `ggplot2::geom_raster`.

An object of class gamLayer.