Man pages for jeffdaniel/ppmnet
Regularized Spatial Point Process Models
| auc.ppmnet | AUC values for a 'ppmnet' object |
| coef.ppmnet | Extract the coefficients from a 'ppmnet' object |
| deviance.ppmnet | Extract the deviance from a 'ppmnet' object |
| exdata | Example spatial covariate data |
| fitted.ppmnet | Fitted conditional intensity from a 'ppmnet' object |
| logLik.ppmnet | Log (composite) likelihood for a 'ppmnet' object |
| plot.ppmnet | Plot the coefficients from a 'ppmnet' object |
| ppmnet | Fit a spatial point process model with lasso or elastic net... |
| predict.ppmnet | Make predictions from a 'ppmnet' object |
| print.ppmnet | Print a 'ppmnet' object |
| residuals.ppmnet | Residuals for a 'ppmnet' object |
| roc.ppmnet | ROC curves for a 'ppmnet' object |
| select.ppmnet | Select a tuning parameter value from a 'ppmnet' object |
| Xg | Simulated inhomogeneous Geyer point pattern |
| Xp | Simulated inhomogeneous Poisson point pattern |
| Xs | Simulated inhomogeneous Strauss point pattern |
