| Name : R-geoGAM
| |
| Version : 0.1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.1.4
| Date : 2024-06-14 11:47:22
|
| Group : Development/Libraries/Other
| Source RPM : R-geoGAM-0.1.3-lp153.1.4.src.rpm
|
| Size : 4.64 MB
| |
| Packager : (none)
| |
| Summary : Select Sparse Geoadditive Models for Spatial Prediction
|
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)
< doi:10.5194/soil-3-191-2017>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
