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pMEM

1.0-1

Predictive Moran's Eigenvector Maps

0packages depend
3.1Kdownloads / 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: 2.5 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • 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

3.1K
CRAN downloads in the past year
Rank #8,288 · ~9/day · ~259/mo
Daily download trend is not available in this view yet.
29930 days
1.3K90 days
3.1K1 year
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Also on440 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

Code Composition
R 1,640 (35%)Rd 1,374 (29%)Vignettes 871 (18%)C++ 786 (17%)Other 40 (1%)
Code characteristics
Object systems
S34
Cyclomatic complexity
1.5 median / 9 max

Test coverage

Line coverage

Expression

Tests / Examples

Functions

29 4 exported

Complexity

3.1 avg / 9 max

Call network

29 nodes / 18 edges

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Lowest coverage

Per-function coverage is not measured for this package yet.

Datasets

Bundled datasets · 1
NameClassRows × ColsAlso ships in
salmondata.frame76 × 5in 2 packages

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
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