Description Usage Arguments Value
Calculates Site-Sum Randomized-quantile residuals for a distance model fit with unmarked. Note that I currently calculate these residuals by subtracting 1 from each distance bin. That's pretty hacky and likely just plain wrong. Don't use residuals from more than 1 distance bin. Just use residuals from a single bin. It would be better to extend the observation rq residuals to a multinomial distribution, and use the pbinsum function to get the possible N's (up to K) across all distance breaks. But then I could just draw a random distance from the normal distribution, take 1 individual out of that distance category (for the F(z-1) calculation) and calculate the residuals with those 2 values & distributions. Use rqResSum function for point-count model. As defined in Knape et al. 2018 and available for unmarked models in the nmixgof package.
1 | rqResSum_dist(umFit, show.warnings = FALSE)
|
umFit |
an unmarked model fit to point count data. |
a matrix of residuals with the same dimensions as the observations (rows = cites, columns = distance breaks)
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