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EgoCor

1.3.4Package record

Simple Presentation of Estimated Exponential Semi-Variograms

0packages depend
3.8Kdownloads / year
68.2%test coverage
13/13flavors OK

Overview

About

User friendly interface based on the R package 'gstat' to fit exponential parametric models to empirical semi-variograms in order to model the spatial correlation structure of health data. Geo-located health outcomes of survey participants may be used to model spatial effects on health in an ego-centred approach. The package contains a range of functions to help explore the spatial structure of the data as well as visualize the fit of exponential models for various metaparameter combinations with respect to the number of lag intervals and maximal distance. Furthermore, the outcome of interest can be adjusted for covariates by fitting a linear regression in a preliminary step before the semi-variogram fitting process.

Install

Health

CRAN checks
13OK
Slowest check: 1.6 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.3.4
README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
6
Examples that run
100%5 run in a plain check (1 of them under a condition)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50% with a bibliography file

Downloads

3.8K
CRAN downloads in the past year
Rank #12,292 · ~10/day · ~314/mo
Daily download trend is not available in this view yet.
34730 days
90890 days
3.8K1 year
Compare downloads with other packages →
Also on838 r2u3 autocran

Repository

3Stars
1Forks
0Open issues
0Open PRs
0Releases
316Commits
3Commit identities
316 commits · Last activity 2026-09-17 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
86%
Median days to close, 50 most recently updated closed issues
18
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-03-04 · 22026-07-07 · 3
PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/julia-dyck/egocor on 2026-10-21.

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 (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing EgoCor adds 56 packages (36 with compiled code, 60 MB of source tarballs). Heaviest: sf 9.3 MB, bslib 5.6 MB, sp 4.3 MB.

Depends (1)
R >= 3.5.0
Imports (10)
graphicsgrDevicesgstatRdpackshinyspSpatialToolsstatsmethodsutils
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2022)
Author · added in 1.0.0
Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.3.4Latest
    record
    2025-11-19 · current release · diff ↗
  • 1.3.3
    record
    2025-05-19 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.3.2
    record
    2025-01-25 · diff ↗
  • 1.3.0
    record
    2025-01-21 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.0
    record
    2024-03-28 · diff ↗
  • 1.1.0
    record
    2023-08-08 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2022-08-11
  • 1.0.0
    record
    2022-08-11 · diff ↗
  • archivedRemoved from CRAN
    2022-05-04
    requires archived package 'geoR'
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.0
    record
    2022-03-03
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-03-03
Total releases
8 / 4 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
23 KB / 1 file
Download size
159 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EgoCor")
Dyck, J., Koslik, J., & Sauzet, O. (2025). EgoCor: Simple Presentation of Estimated Exponential Semi-Variograms (Version 1.3.4) [Computer software]. https://doi.org/10.32614/CRAN.package.EgoCor

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for EgoCor version 1.3.4 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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