Package: nna 0.0.2.1
nna: Nearest-Neighbor Analysis
Calculates spatial pattern analysis using a T-square sample procedure. This method is based on two measures "x" and "y". "x" - Distance from the random point to the nearest individual. "y" - Distance from individual to its nearest neighbor. This is a methodology commonly used in phytosociology or marine benthos ecology to analyze the species' distribution (random, uniform or clumped patterns). Ludwig & Reynolds (1988, ISBN:0471832359).
Authors:
nna_0.0.2.1.tar.gz
nna_0.0.2.1.zip(r-4.7)nna_0.0.2.1.zip(r-4.6)nna_0.0.2.1.zip(r-4.5)
nna_0.0.2.1.tgz(r-4.6-any)nna_0.0.2.1.tgz(r-4.5-any)
nna_0.0.2.1.tar.gz(r-4.7-any)nna_0.0.2.1.tar.gz(r-4.6-any)
nna_0.0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
nna/json (API)
| # Install 'nna' in R: |
| install.packages('nna', repos = c('https://cristiano-pereira.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 from:7f493d878d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 97 | ||
| source / vignettes | OK | 100 | ||
| linux-release-x86_64 | OK | 93 | ||
| macos-release-arm64 | OK | 130 | ||
| macos-oldrel-arm64 | OK | 159 | ||
| windows-devel | OK | 60 | ||
| windows-release | OK | 53 | ||
| windows-oldrel | OK | 66 | ||
| wasm-release | OK | 82 |
Exports:nna
Dependencies:
