Package: rwc 1.12
rwc: Random Walk Covariance Models
Code to facilitate simulation and inference when connectivity is defined by underlying random walks. Methods for spatially-correlated pairwise distance data are especially considered. This provides core code to conduct analyses similar to that in Hanks and Hooten (2013) <doi:10.1080/01621459.2012.724647>.
Authors:
rwc_1.12.tar.gz
rwc_1.12.zip(r-4.5)rwc_1.12.zip(r-4.4)rwc_1.12.zip(r-4.3)
rwc_1.12.tgz(r-4.5-any)rwc_1.12.tgz(r-4.4-any)rwc_1.12.tgz(r-4.3-any)
rwc_1.12.tar.gz(r-4.5-noble)rwc_1.12.tar.gz(r-4.4-noble)
rwc_1.12.tgz(r-4.4-emscripten)rwc_1.12.tgz(r-4.3-emscripten)
rwc.pdf |rwc.html✨
rwc/json (API)
# Install 'rwc' in R: |
install.packages('rwc', repos = c('https://ehanks.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 3 months agofrom:b35457249f. Checks:9 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 16 2025 |
R-4.5-win | OK | Mar 16 2025 |
R-4.5-mac | OK | Mar 16 2025 |
R-4.5-linux | OK | Mar 16 2025 |
R-4.4-win | OK | Mar 16 2025 |
R-4.4-mac | OK | Mar 16 2025 |
R-4.4-linux | OK | Mar 16 2025 |
R-4.3-win | OK | Mar 16 2025 |
R-4.3-mac | OK | Mar 16 2025 |
Exports:cov.from.distdGenWishdist.from.covget.Phiget.Qget.TLmcmc.wish.icarrGenWishrnorm.Q