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reems

0.1.0

Estimating Effective Migration Surfaces from Single Nucleotide Polymorphism Data

0packages depend
805downloads / year
76.0%test coverage
13/13checks pass

Overview

About
Maintained by Felix WeitkämperFirst published 2026-05-061 releasesCRAN page ↗Codeberg ↗

Wrapper and plotting utilities for the spatial population genetics tool 'EEMS' (Estimated Effective Migration Surfaces) for SNP (Single Nucleotide Polymorphism) data, originally provided as a command-line tool written in 'C++' together with an accompanying 'R' package for plotting the output of the 'EEMS' tool itself (https://github.com/dipetkov/eems/). There are four main motivations for offering this to 'R' users as a package. Firstly, to remove the installation and configuration burden for the 'EEMS' command-line tool, which relies on manually installed 'Boost' and 'Eigen' system libraries and configuring their location; secondly, to streamline the workflow by having a singe environment (the 'R' system) for the entire analysis rather than a file-based command-line executable whose output files are then to be imported and analysed by a separate 'R' script; thirdly, to make the input formats compatible with other, 'R'-based spatial population genetics tools such as the 'ConStruct' package; and lastly, to allow for easily running several chains in parallel and combining them for plotting and further analysis. The package also adds more intuitive, streamlined tooling around creating more complex habitats. The method of estimating effective migration surfaces was first described by Petkova, D., Novembre, J. & Stephens, M. (2016) doi:10.1038/ng.3464.

Install

Health

CRAN checks
13OK
Slowest check: 13.6 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.09
76.0%
Coverage · measured lines
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-05-06
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 142 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
45%

Downloads

805
CRAN downloads in the past year
Rank #19,494 · ~2/day · ~67/mo
Daily download trend is not available in this view yet.
16930 days
56290 days
8051 year
Compare downloads with other packages →
Also on27 r2u3 autocran

Repository

Repository practices

Upstream repositoryBeta

Repository codeberg.org/felix_weitkaemper/reems is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (7)
Rcppmethodsrasterspsfstatsutils
LinkingTo (3)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (2)
Author, Maintainer, Copyright holder
Copyright holder
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-05-06 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-05-06
Total releases
1 / 1 yrs
License
GPL-2 OSI
Minimum R
≥ 4.1.0
Bundled data
41 KB / 2 files
Download size
556 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("reems")
Weitkämper, F., & Petkova, D. (2026). reems: Estimating Effective Migration Surfaces from Single Nucleotide Polymorphism Data (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.reems

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 reems version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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