mgwr.gwr.GWRResultsLite¶

class mgwr.gwr.GWRResultsLite(model, resid, influ)[source]¶

Lightweight GWR that computes the minimum diagnostics needed for bandwidth selection

Parameters:	model : GWR object pointer to GWR object with estimation parameters resid : array n*1, residuals of the repsonse influ : array n*1, leading diagonal of S matrix
Attributes:	tr_S : float trace of S (hat) matrix llf : scalar log-likelihood of the full model; see pysal.contrib.glm.family for damily-sepcific log-likelihoods mu : array n*, flat one dimensional array of predicted mean response value from estimator resid_ss : scalar residual sum of sqaures

Methods

llf
mu
resid_ss
tr_S

__init__(model, resid, influ)[source]¶

Initialize self. See help(type(self)) for accurate signature.