ppmlasso-package |
PPM-LASSO: Point process models with LASSO-type penalties |
availability |
Blue Mountains eucalypt and environmental data. |
BlueMountains |
Blue Mountains eucalypt and environmental data. |
diagnose |
Create diagnostic plots for a fitted point process model. |
diagnose-method |
Methods for function 'diagnose' |
diagnose-methods |
Methods for function 'diagnose' |
diagnose.ppmlasso |
Create diagnostic plots for a fitted point process model. |
env |
Blue Mountains eucalypt and environmental data. |
envelope-method |
Methods for function 'envelope' |
envelope-methods |
Methods for function 'envelope' |
envelope.ppmlasso |
Calculates simulation envelopes for goodness-of-fit |
eucalypt |
Blue Mountains eucalypt and environmental data. |
findRes |
Choose spatial resolution for analysis |
getEnvVar |
Extract environmental data to presence locations |
griddify |
Ensure that a geo-referenced matrix of environmental grids is rectangular |
plotFit |
Plot the predicted intensity of a fitted 'ppmlasso' model |
plotPath |
Plot of the regularisation path of a 'ppmlasso' model |
pointInteractions |
Calculate point interactions for area-interaction models |
ppmdat |
Prepare data for model fitting |
ppmlasso |
Fit point process models with LASSO penalties |
ppmlasso-class |
Class '"ppmlasso"' |
predict-method |
Methods for function 'predict' |
predict-methods |
Methods for function 'predict' |
predict.ppmlasso |
Prediction to new data from a fitted regularisation path |
print-method |
Methods for function 'print' |
print-methods |
Methods for function 'print' |
print.ppmlasso |
Print a fitted regularisation path |
sampleQuad |
Generate regular grid of quadrature points with environmental data |