vp()
MI.vec()
and MI.decomp()
:MI.resid()
glmFilter()
now supports 'nb' (for negative binomial) as model typeglmFilter()
also provides McFadden's adjusted pseudo R-squared for the filtered vs. the unfiltered modelMI.local()
and MI.vec()
functionslmFilter()
and glmFilter()
occurring when covariates are supplied as data.frameMI.vec()
, MI.decomp()
, and MI.local()
lmFilter()
functionMI.local()
function to calculate local Moran's Ivp()
function for variation partitioningMI.local()
in documentation fileslmFilter()
functionMI.local()
function to calculate local Moran's Ivp()
function for variation partitioningMI.local()
in documentation filesMI.decomp()
to decompose Moran's IMI.resid()
lmFilter()
and glmFilter()
now also support unsupervised eigenvector selection based on the significance of residual autocorrelationAdd the following code to your website.
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