Package: pMEM 0.1-1
Guillaume Guénard
pMEM: Predictive Moran's Eigenvector Maps
Calculation of Predictive Moran's eigenvector maps (pMEM), as defined by Guénard and Legendre (In Press) "Spatially-explicit predictions using spatial eigenvector maps" <doi:10.5281/zenodo.13356457>. Methods in Ecology and Evolution. This method enables scientists to predict the values of spatially-structured environmental variables. Multiple types of pMEM are defined, each one implemented on the basis of spatial weighting function taking a range parameter, and sometimes also a shape parameter. The code's modular nature enables programers to implement new pMEM by defining new spatial weighting functions.
Authors:
pMEM_0.1-1.tar.gz
pMEM_0.1-1.tar.gz(r-4.5-noble)pMEM_0.1-1.tar.gz(r-4.4-noble)
pMEM_0.1-1.tgz(r-4.4-emscripten)pMEM_0.1-1.tgz(r-4.3-emscripten)
pMEM.pdf |pMEM.html✨
pMEM/json (API)
| # Install 'pMEM' in R: |
| install.packages('pMEM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:bdc021c074. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 18 2024 |
| R-4.5-linux-x86_64 | OK | Nov 18 2024 |
Exports:genDistMetricgenDWFgenSEFgetMinMSE
Dependencies:classclassIntDBIe1071KernSmoothmagrittrMASSproxyRcpps2sfunitswk
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Distance Metric Function Generator | genDistMetric |
| Distance Weighting Function Generator | genDWF |
| Borcard's Oribatid Mite Data Set - Geographic Information System Version - | geoMite |
| Simple Orthogonal Term Selection Regression | getMinMSE |
| The St. Marguerite River Altantic Salmon Parr Transect | salmon |
| Class and Methods for Predictive Moran's Eigenvector Maps (pMEM) | as.data.frame.SEMap as.matrix.SEMap genSEF pMEM predict.SEMap print.SEMap SEMap-class |