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 |