mgwr.gwr.GWRResultsLite¶
-
class
mgwr.gwr.GWRResultsLite(model, resid, influ, params)[source]¶ Lightweight GWR that computes the minimum diagnostics needed for bandwidth selection
- Parameters
- modelGWR object
pointer to GWR object with estimation parameters
- residarray
n*1, residuals of the repsonse
- influarray
n*1, leading diagonal of S matrix
- Attributes
- tr_Sfloat
trace of S (hat) matrix
- llfscalar
log-likelihood of the full model; see pysal.contrib.glm.family for damily-sepcific log-likelihoods
- muarray
n*, flat one dimensional array of predicted mean response value from estimator
- resid_ssscalar
residual sum of sqaures
Methods
llf
mu
predy
resid_ss
tr_S