| ppmlasso-package | PPM-LASSO: Point process models with LASSO 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. |
| env.var | Extract environmental data to presence locations |
| 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 |
| point.interactions | 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 |
| sample.quad | Generate regular grid of quadrature points with environmental data |