R: Point Process Models with LASSO-Type Penalties

# Point Process Models with LASSO-Type Penalties

## Documentation for package ‘ppmlasso’ version 1.5

- DESCRIPTION file
- Package NEWS

## Help Pages

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