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pMEM

1.0-1

Predictive Moran's Eigenvector Maps

0packages depend
3.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Guillaume GuénardFirst published 2024-09-302 releasesCRAN page ↗

Calculate Predictive Moran's Eigenvector Maps (pMEM) for spatially-explicit prediction of environmental variables, as defined by Guénard and Legendre (2024) doi:10.1111/2041-210X.14413. pMEM extends classical MEM by enabling interpolation and prediction at unsampled locations using spatial weighting functions parameterized by range (and optionally shape). The package implements multiple pMEM types (e.g., exponential, Gaussian, linear) and features a modular architecture that allows programmers to define custom weighting functions. Designed for ecologists, geographers, and spatial analysts working with spatially-structured data.

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
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
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    10 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
92%
Return-value docs
100%
References docs
29%

Downloads

3.2K
CRAN downloads in the past year
Rank #8,858 · ~9/day · ~264/mo
Daily download trend is not available in this view yet.
22230 days
1K90 days
3.2K1 year
Compare downloads with other packages →
Also on422 r2u23 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (2)
R >= 4.1.0sf
Imports (1)
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (1)
Contributor
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0-1Latest
    2026-03-09 · current release · diff ↗
  • unarchivedReturned to CRAN
    2026-03-08
  • archivedRemoved from CRAN
    2026-01-15
    issues were not addressed in time
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1-1
    2024-09-30
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-09-30
Total releases
2 / 2 yrs
License
GPL-3 OSI
Minimum R
≥ 4.1.0
Bundled data
11 KB / 2 files
Download size
367 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pMEM")
Guénard, G., & Legendre, P. (2026). pMEM: Predictive Moran's Eigenvector Maps (Version 1.0-1) [Computer software]. https://doi.org/10.32614/CRAN.package.pMEM

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 pMEM version 1.0-1 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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