R Observatory: Metrics for spboost version 0.7.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

spboost

0.7.0Package record

Gradient Boosting for Nonlinear Spatial Autoregressive Models

0packages depend

1.1Kdownloads / year

28.3%test coverage

13/13flavors OK

Overview

About

Maintained by Ghislain GeniauxCRAN page ↗

Flexible nonlinear extension of spatial autoregressive (SAR), spatial error (SEM), and spatial autoregressive with autoregressive disturbances (SARAR) models with multiple regression engines (generalized additive models ('mgcv'), gradient boosting ('mboost'), multivariate adaptive regression splines ('earth'), and 'xgboost') and two families of spatial-parameter estimators: maximum likelihood and the determinant-free Closed-Form Estimator of Smirnov (2020) doi:10.1111/gean.12268. See Geniaux G. (2026). "Flexible nonlinear spatial autoregressive models: a gradient boosting approach with closed-form estimation." Presented at Spatial Econometrics World Congress (SEA/SEW 2026, Paris), unpublished.

Install

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

install.packages("spboost", 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-spboost

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-spboost

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-spboost

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: 14.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK7 OK2026-06-09

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.7.0

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 31
Examples that run: 100%25 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

spboost: Nonlinear Spatial Autoregressive Models with Boosting and CFE HTML

How these are measured

Downloads

1.1K

CRAN downloads in the past year

Rank #19,504 · ~3/day · ~89/mo

Releases R versions

Daily download trend is not available in this view yet.

18730 days

68090 days

1.1K1 year

Compare downloads with other packages →

Also on61 r2u1 autocran

How downloads are counted

Dependencies

Declared dependencies

20 external dependencies (excludes base and recommended)

Installing spboost adds 147 packages (85 with compiled code, 140 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, sf 9.3 MB.

Depends (5)

Matrixmboostmgcvmethodsmgwrsar

Imports (10)

Rcpp sfMASSdata.table xgboost caret doParallel foreach nabor earth

LinkingTo (2)

RcppEigen Rcpp

Suggests (7)

blockCV knitr rmarkdown RSpectra spatialreg spdep testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Ghislain Geniaux

Author, Maintainer since 0.7.0 (2026)

Releases (1)

0.7.0Latest
record
2026-06-08 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-06-08
Total releases: 1 / 1 yrs
License: GPL (>= 2) OSI
Download size: 422 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("spboost")

Format

Geniaux, G. (2026). spboost: Gradient Boosting for Nonlinear Spatial Autoregressive Models (Version 0.7.0) [Computer software]. https://doi.org/10.32614/CRAN.package.spboost

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 spboost version 0.7.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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