geoGAM: Select Sparse Geoadditive Models for Spatial Prediction
Version 0.1-1

A model building procedure to select a sparse geoadditive model from a large number of covariates. Continuous, binary and ordered categorical responses are supported. The model building is based on component wise gradient boosting with linear effects and smoothing splines. The resulting covariate set after gradient boosting is further reduced through cross validated backward selection and aggregation of factor levels. The package provides a model based bootstrap method to simulate prediction intervals for point predictions. A test data set of a soil mapping case study is provided.

AuthorMadlene Nussbaum [cre, aut], Andreas Papritz [ths]
Date of publication2016-10-29 10:48:22
MaintainerMadlene Nussbaum <madlene.nussbaum@env.ethz.ch>
LicenseGPL (>= 2)
Version0.1-1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("geoGAM")

Popular man pages

berne: Berne - soil mapping case study
berne.grid: Berne - very small extract of prediction grid
bootstrap.geoGAM: Bootstrapped predictive distribution
geoGAM: Select sparse geoadditive model
methods.geoGAM: Methods for 'geoGAM' objects
predict.geoGAM: Prediction from fitted geoGAM model
See all...

All man pages Function index File listing

Man pages

berne: Berne - soil mapping case study
berne.grid: Berne - very small extract of prediction grid
bootstrap.geoGAM: Bootstrapped predictive distribution
geoGAM: Select sparse geoadditive model
methods.geoGAM: Methods for 'geoGAM' objects
predict.geoGAM: Prediction from fitted geoGAM model

Functions

berne Man page
berne.grid Man page
bootstrap Man page Source code
bootstrap.default Man page Source code
bootstrap.geoGAM Man page Source code
f.boost Source code
f.choose.offset Source code
f.comp.magn Source code
f.gam.aggregate.one Source code
f.gam.aggregation.all Source code
f.gam.backward Source code
f.gam.cv Source code
f.gam.find.drop Source code
f.gam.val.extern Source code
f.lm Source code
f.lm.cv Source code
f.predict Source code
f.prepare.validation.cv Source code
f.prepare.validation.ext Source code
f.transform.data Source code
f.transform.formula Source code
f.tuning.param Source code
f.validate.predictions Source code
geoGAM Man page Source code
get_os Source code
plot Man page
plot.geoGAM Man page Source code
predict Man page
predict.default Man page
predict.geoGAM Man page Source code
print Man page
print.geoGAM Man page Source code
print.summary.geoGAM Source code
print.summary.path.geoGAM Source code
summary Man page
summary.geoGAM Man page Source code

Files

NAMESPACE
NEWS
data
data/berne.rda
data/berne.grid.rda
data/datalist
R
R/bootstrap.geogam.R
R/predict.geogam.R
R/f.geoam.model.selection.R
R/methods.geogam.R
MD5
DESCRIPTION
man
man/methods.geoGAM.Rd
man/predict.geoGAM.Rd
man/bootstrap.geoGAM.Rd
man/berne.grid.Rd
man/berne.Rd
man/geoGAM.Rd
geoGAM documentation built on May 20, 2017, 3:31 a.m.

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