R Observatory: Metrics for geoGAM version 0.1-4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

geoGAM

0.1-4Package record

Select Sparse Geoadditive Models for Spatial Prediction

0packages depend

2.9Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Madlene NussbaumCRAN page ↗

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.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("geoGAM", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-geogam

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-geoGAM

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-geoGAM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1-4

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 6
Examples that run: 83%5 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 33%
Return-value docs: 100%
Help pages citing references: 100%

How these are measured

Downloads

2.9K

CRAN downloads in the past year

Rank #15,403 · ~8/day · ~244/mo

Releases R versions

Daily download trend is not available in this view yet.

33730 days

78890 days

2.9K1 year

Compare downloads with other packages →

Also on112 r2u3 autocran

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing geoGAM adds 13 packages (9 with compiled code, 9.1 MB of source tarballs). Heaviest: partykit 2.1 MB, mboost 2.0 MB, sandwich 1.4 MB.

Depends (1)

R >= 2.14.0

Imports (4)

mboostmgcvgrpregMASS

LinkingTo (0)

none

Suggests (2)

raster sp

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Madlene Nussbaum

Maintainer since 0.1-1 (2016), Author

Andreas Papritz

Thesis advisor

Releases (4)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.1-4Latest
record
2025-10-16 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
unarchivedReturned to CRAN
2023-11-14
0.1-3
record
2023-11-14 · diff ↗
R
R 4.3.0 released · 2023-04-21
archivedRemoved from CRAN
2022-08-12
email to the maintainer is undeliverable
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.1-2
record
2017-07-23 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.1-1
record
2016-10-29

Show 1 earlier eventHide 1 earlier event

R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-10-29
Total releases: 4 / 10 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 2.14.0
Bundled data: 3.1 MB / 3 files
Download size: 3.2 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("geoGAM")

Format

Nussbaum, M., & Papritz, A. (2025). geoGAM: Select Sparse Geoadditive Models for Spatial Prediction (Version 0.1-4) [Computer software]. https://doi.org/10.32614/CRAN.package.geoGAM

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for geoGAM version 0.1-4 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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