Other packages > Find by keyword >

geoGAM  

Select Sparse Geoadditive Models for Spatial Prediction
View on CRAN: Click here


Download and install geoGAM package within the R console
Install from CRAN:
install.packages("geoGAM")

Install from Github:
library("remotes")
install_github("cran/geoGAM")

Install by package version:
library("remotes")
install_version("geoGAM", "0.1-4")



Attach the package and use:
library("geoGAM")
Maintained by
Madlene Nussbaum
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-29
Latest Update: 2025-09-03
Description:
A model building procedure to build parsimonious 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, smoothing splines and a smooth spatial surface to model spatial autocorrelation. The resulting covariate set after gradient boosting is further reduced through backward elimination 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 in Berne (Switzerland) is provided. Nussbaum, M., Walthert, L., Fraefel, M., Greiner, L., and Papritz, A. (2017) .
How to cite:
Madlene Nussbaum (2016). geoGAM: Select Sparse Geoadditive Models for Spatial Prediction. R package version 0.1-4, https://cran.r-project.org/web/packages/geoGAM. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:42), 0.1-1 (2016-10-29 10:48), 0.1-2 (2017-07-23 18:25), 0.1-3 (2023-11-14 19:00)
Other packages that cited geoGAM R package
View geoGAM citation profile
Other R packages that geoGAM depends, imports, suggests or enhances
Complete documentation for geoGAM
Functions, R codes and Examples using the geoGAM R package
Some associated functions: berne.grid . berne . bootstrap.geoGAM . geoGAM . methods.geoGAM . predict.geoGAM . 
Some associated R codes: bootstrap.geogam.R . f.geoam.model.selection.R . methods.geogam.R . predict.geogam.R .  Full geoGAM package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
footBayes  
Fitting Bayesian and MLE Football Models
This is the first package allowing for the estimation, visualization and prediction of the most wel ...
Download / Learn more Package Citations See dependency  
pulseTD  
Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Me ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA