pysal.model.mgwr.gwr.GWRResultsLite

class pysal.model.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.

Methods

__init__(model, resid, influ) Initialize self.
llf()
mu()
resid_ss()
tr_S()