Package: geoGAM 0.1-3
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_0.1-3.tar.gz
geoGAM_0.1-3.zip(r-4.5)geoGAM_0.1-3.zip(r-4.4)geoGAM_0.1-3.zip(r-4.3)
geoGAM_0.1-3.tgz(r-4.4-any)geoGAM_0.1-3.tgz(r-4.3-any)
geoGAM_0.1-3.tar.gz(r-4.5-noble)geoGAM_0.1-3.tar.gz(r-4.4-noble)
geoGAM_0.1-3.tgz(r-4.4-emscripten)geoGAM_0.1-3.tgz(r-4.3-emscripten)
geoGAM.pdf |geoGAM.html✨
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 1 years agofrom:d7eb363e97. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 11 2024 |
| R-4.5-win | NOTE | Nov 11 2024 |
| R-4.5-linux | NOTE | Nov 11 2024 |
| R-4.4-win | OK | Nov 11 2024 |
| R-4.4-mac | OK | Nov 11 2024 |
| R-4.3-win | OK | Nov 11 2024 |
| R-4.3-mac | OK | Nov 11 2024 |
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 |
