Point Process Models with LASSO-Type Penalties
Methods for function diagnose
Create diagnostic plots for a fitted point process model.
Methods for function envelope
Calculates simulation envelopes for goodness-of-fit
Choose spatial resolution for analysis
Extract environmental data to presence locations
Ensure that a geo-referenced matrix of environmental grids is rectangu...
Plot the predicted intensity of a fitted ppmlasso model
Plot of the regularisation path of a ppmlasso model
Calculate point interactions for area-interaction models
Prepare data for model fitting
Class "ppmlasso"
Internal ppmlasso functions
PPM-LASSO: Point process models with LASSO-type penalties
Fit point process models with LASSO penalties
Methods for function predict
Prediction to new data from a fitted regularisation path
Methods for function print
Print a fitted regularisation path
Generate regular grid of quadrature points with environmental data
Toolkit for fitting point process models with sequences of LASSO penalties ("regularisation paths"), as described in Renner, I.W. and Warton, D.I. (2013) <doi:10.1111/j.1541-0420.2012.01824.x>. Regularisation paths of Poisson point process models or area-interaction models can be fitted with LASSO, adaptive LASSO or elastic net penalties. A number of criteria are available to judge the bias-variance tradeoff.