ppmlasso: Point Process Models with LASSO Penalties
Version 1.1

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.

AuthorIan Renner
Date of publication2015-01-30 13:34:19
MaintainerIan Renner <Ian.Renner@newcastle.edu.au>
LicenseGPL-3
Version1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("ppmlasso")

Getting started

Package overview

Popular man pages

BlueMountains: Blue Mountains eucalypt and environmental data.
diagnose-methods: Methods for function 'diagnose'
env.var: Extract environmental data to presence locations
findres: Choose spatial resolution for analysis
ppmlasso-class: Class '"ppmlasso"'
predict.ppmlasso: Prediction to new data from a fitted regularisation path
print.ppmlasso: Print a fitted regularisation path
See all...

All man pages Function index File listing

Man pages

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...

Functions

Files

inst
inst/CITATION
inst/NEWS
NAMESPACE
data
data/BlueMountains.RData
R
R/ppmlasso_functions.R
MD5
DESCRIPTION
man
man/BlueMountains.Rd
man/print.ppmlasso.Rd
man/sample.quad.Rd
man/diagnose.ppmlasso.Rd
man/predict.ppmlasso.Rd
man/ppmlasso-package.Rd
man/ppmlasso-class.Rd
man/envelope.ppmlasso.Rd
man/print-methods.Rd
man/ppmlasso.Rd
man/env.var.Rd
man/ppmdat.Rd
man/findres.Rd
man/predict-methods.Rd
man/ppmlasso-internal.Rd
man/envelope-methods.Rd
man/diagnose-methods.Rd
man/point.interactions.Rd
ppmlasso documentation built on May 19, 2017, 8:41 p.m.

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