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A non-parametric method of classification and regression. The input consists of the $k$ closest training examples in the feature space. The output is either the mode of the neighbors (in classification) or their mean (in regression).

3 votes
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741 views

Problem when fitting spatial regression with repeated measures

I am trying to fit a spatial lag model in R (spdep::lagsarlm), after having built a neighbour distance matrix. I have two questions, because every time I read about it, the model always fit data that …
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