Toolkit for fitting point process models with sequences of LASSO penalties ("regularisation paths"). 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.
|Date of publication||2015-01-30 13:34:19|
|Maintainer||Ian Renner <Ian.Renner@newcastle.edu.au>|
BlueMountains: Blue Mountains eucalypt and environmental data.
diagnose-methods: Methods for function 'diagnose'
diagnose.ppmlasso: Create diagnostic plots for a fitted point process model.
envelope-methods: Methods for function 'envelope'
envelope.ppmlasso: Calculates simulation envelopes for goodness-of-fit
env.var: Extract environmental data to presence locations
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"'
ppmlasso-internal: Internal ppmlasso functions
ppmlasso-package: PPM-LASSO: Point process models with LASSO penalties
predict-methods: Methods for function 'predict'
predict.ppmlasso: Prediction to new data from a fitted regularisation path
print-methods: Methods for function 'print'
print.ppmlasso: Print a fitted regularisation path
sample.quad: Generate regular grid of quadrature points with environmental...