R Observatory: Metrics for geosmooth version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

geosmooth

0.1.0Package record

Geometric Smoothing and Conditional Expectation Methods

0packages depend

709downloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Pawel GajerCRAN page ↗GitHub ↗Issues ↗

Provides geometric methods for nonparametric regression and density estimation on data represented as coordinate matrices or weighted graphs. Methods include local polynomial smoothing, model-averaged local polynomial smoothing, local polynomial lifting trend filtering, synchronized local polynomial lifting trend filtering, graph low-pass filtering, and Hessian-energy regression. Methodological references include Gajer and Ravel (2025) "Adaptive Geometric Regression for High-Dimensional Structured Data" doi:10.48550/arXiv.2511.03817, Fan and Gijbels (1996, ISBN:9780412983214), Wang et al. (2016) "Trend Filtering on Graphs" https://www.jmlr.org/papers/v17/15-147.html, and Kim et al. (2009) "Semi-Supervised Regression Using Hessian Energy" https://papers.nips.cc/paper/3741-semi-supervised-regression-using-hessian-energy-with-an-application-to-semi-supervised-dimensionality-reduction.

Changes in 0.1.0

Initial CRAN release.
Provides local polynomial and model-averaged local polynomial smoothing, local polynomial lifting trend filtering, synchronized local polynomial lifting trend filtering, and occupation-density adapters.
Provides metric-graph low-pass filtering and Hessian-energy regression with compiled backends.
Provides reproducible synthetic geometry and response generators for method evaluation.
Makes synthetic-registry identity verification stable across supported R versions by excluding the serializer's producer-version header from the checksum contract.

From NEWS.md in the release

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("pgajer/geosmooth")

Development version from pgajer/geosmooth. Installs pak first if it is not already available.

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-geosmooth

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-geosmooth

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-geosmooth

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: 17.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OKNow
OK5 OK2026-09-13

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 344 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNo

Help pages: 105includes a package overview page
Examples that run: 100%94 run in a plain check (5 of them under a condition)
Exported functions with examples: 100%
Documented parameters: 87%
Return-value docs: 100%
Help pages citing references: 6%

Vignettes (1)

Synthetic datasets for geometric smoothing HTML

How these are measured

Downloads

709

CRAN downloads in the past year

Rank #18,602 · ~2/day · ~59/mo

Releases R versions

Daily download trend is not available in this view yet.

46430 days

70990 days

7091 year

Compare downloads with other packages →

Also on18 r2u1 autocran

How downloads are counted

Repository

pgajer/geosmooth ↗Account: pgajer

0Stars

1Forks

0Open issues

0Open PRs

0Releases

191Commits

1Commit identities

191 commits · Last activity 2026-10-08 · Default branch at 0.2.0, ahead of CRAN 0.1.0 (checked 2026-10-25)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Forks over time

2026-09-13 · 02026-09-30 · 1

How these are measured

PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/pgajer/geosmooth on 2026-10-25.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-10-08 · The repository has a site deploy workflow

Reproducibility and dev environment (1)

Makefile

CRAN release process (1)

cran-comments.md

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen on or before 2026-06-04
Named in .Rbuildignore: .claude
Named in .gitignore: .claude
Commits: at least 37 crediting it in the message

Models named in its commits

Claude Fable 535 commits · Jun 2026
Claude Opus 4.82 commits · Jun 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Installing geosmooth adds 15 packages (12 with compiled code, 13 MB of source tarballs). Heaviest: igraph 4.8 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)

R >= 3.5.0

Imports (9)

dgraphs digest jsonliteMASSMatrixmethodsRcppstatsutils

LinkingTo (1)

Rcpp

Suggests (6)

genlasso grip knitr rmarkdown testthat waldo

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (9)

Pawel Gajer

Author, Maintainer since 0.1.0 (2026)

Sunil Arya

Contributor, Copyright holder

ANN

Gael Guennebaud

Contributor

Eigen

Benoit Jacob

Contributor

Eigen

David M. Mount

Contributor, Copyright holder

ANN

Yixuan Qiu

Contributor, Copyright holder

Spectra

Authors of Eigen

Copyright holder

Authorship and copyright in the included Eigen library

University of Maryland

Copyright holder

ANN

Contributors to Spectra

Copyright holder

Copyright in the included Spectra library

Releases (1)

0.1.0Latest
record
2026-09-12 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-09-12
Total releases: 1 / 1 yrs
License: GPL (>= 3) OSI
Copyright: See inst/COPYRIGHTS in the package
Minimum R: ≥ 3.5.0
Download size: 2.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("geosmooth")

Format

Gajer, P., Arya, S., Eigen, A. o., Guennebaud, G., Jacob, B., Maryland, U. o., Mount, D. M., Qiu, Y., & Spectra, C. t. (2026). geosmooth: Geometric Smoothing and Conditional Expectation Methods (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.geosmooth

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 geosmooth version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →