Package: geoGAM 0.1-4
geoGAM: Select Sparse Geoadditive Models for Spatial Prediction
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) <doi:10.5194/soil-3-191-2017>.
Authors:
geoGAM_0.1-4.tar.gz
geoGAM_0.1-4.zip(r-4.7-any)geoGAM_0.1-4.zip(r-4.6-any)geoGAM_0.1-4.zip(r-4.5-any)
geoGAM_0.1-4.tgz(r-4.6-any)geoGAM_0.1-4.tgz(r-4.5-any)
geoGAM_0.1-4.tar.gz(r-4.7-any)geoGAM_0.1-4.tar.gz(r-4.6-any)
geoGAM_0.1-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
geoGAM/json (API)
| # Install 'geoGAM' in R: |
| install.packages('geoGAM', repos = c('https://nussbaummadlene.r-universe.dev', 'https://cloud.r-project.org')) |
- berne - Berne - soil mapping case study
- berne.grid - Berne - very small extract of prediction grid
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:50deb01312. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 139 | ||
| source / vignettes | OK | 168 | ||
| linux-release-x86_64 | OK | 138 | ||
| macos-release-arm64 | OK | 182 | ||
| macos-oldrel-arm64 | OK | 183 | ||
| windows-devel | OK | 103 | ||
| windows-release | OK | 96 | ||
| windows-oldrel | OK | 104 | ||
| wasm-release | OK | 105 |
Dependencies:FormulagrpreginumlatticelibcoinMASSMatrixmboostmgcvmvtnormnlmennlspartykitquadprogrpartstabssurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Berne - soil mapping case study | berne |
| Berne - very small extract of prediction grid | berne.grid |
| Bootstrapped predictive distribution | bootstrap bootstrap.default bootstrap.geoGAM |
| Select sparse geoadditive model | geoGAM |
| Methods for 'geoGAM' objects | plot plot.geoGAM print print.geoGAM summary summary.geoGAM |
| Prediction from fitted geoGAM model | predict predict.default predict.geoGAM |
