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0.1.0Package record

Constructing Adjacency Matrices Based on Spatial and Feature Similarity

0packages dependsuggested by 1
2.7Kdownloads / year
91.7%test coverage
13/13flavors OK

Overview

About

Constructs sparse adjacency matrices from spatial coordinates, feature measurements, class labels, and temporal indices. Supports nearest-neighbor graphs, heat-kernel weights, graph Laplacians, diffusion operators, and bilateral smoothers for graph-based data analysis, following spectral graph methods in von Luxburg (2007) doi:10.1007/s11222-007-9033-z, diffusion maps in Coifman and Lafon (2006) doi:10.1016/j.acha.2006.04.006, and bilateral filtering in Tomasi and Manduchi (1998) doi:10.1109/ICCV.1998.710815.

Changes in 0.1.0
  • Initial CRAN release.
  • Functions for constructing spatial and feature-weighted adjacency matrices.
  • K-nearest neighbor graph construction with heat, binary, and cosine kernels.
  • Class-based graph tools: class_graph, homogeneous_neighbors, heterogeneous_neighbors.
  • Spatial constraint matrices for multi-block data (spatial_constraints, feature_weighted_spatial_constraints).
  • Diffusion kernels and commute-time distances on graphs.
  • Label similarity matrices (binary_label_matrix, diagonal_label_matrix).

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.5 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK11 OK2026-04-25
  • ERROR7 OK, 1 ERROR2026-04-22
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 174 wordsVignettesYes · 2 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileYes · software entry only
Help pages
91 (1 internal)
Examples that run
81%73 run in a plain check · 17 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
1%

Downloads

2.7K
CRAN downloads in the past year
Rank #7,129 · ~7/day · ~228/mo
Daily download trend is not available in this view yet.
40030 days
1.2K90 days
2.7K1 year
Compare downloads with other packages →
Also on166 r2u38 autocran

Repository

2Stars
0Forks
3Open issues
2Open PRs
0Releases
137Commits
10Commit identities
137 commits · Last activity 2026-09-08
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
6

Stars over time

2025-05-10 · 22026-07-07 · 2
PracticesBeta

10 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/bbuchsbaum/adjoin on 2026-10-18.

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 (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-08 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting
Reproducibility and dev environment (1)
data-raw/
Show all practicesHide 2 practices
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2025-08-19
    Seen in the repository: .claude, .claude/agents, CLAUDE.md
    Named in .Rbuildignore: .claude, CLAUDE.md
    Commits: at least 12 crediting it in the message
  • Cursorfirst seen 2026-09-01
    Pull request it wrote: opened by a project member
    Commits: at least 1 crediting it in the message
Shared conventions any agent may read, so they name no particular tool.
Seen in the repository: AGENTS.md
Models named in its commits
  • Claude Sonnet 4.65 commits · Apr 2026
  • Claude Opus 4.52 commits · Jan 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
17 external dependencies (excludes base and recommended)

Installing adjoin adds 18 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 >= 4.0.0
Imports (14)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

People & History

People (1)
Author, Maintainer since 0.1.0 (2026)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-04-21 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-04-21
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Download size
506 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("adjoin")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for adjoin version 0.1.0 [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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