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:Ephraim Hanks [aut, cre]

rwc_1.12.tar.gz
rwc_1.12.zip(r-4.7)rwc_1.12.zip(r-4.6)rwc_1.12.zip(r-4.5)
rwc_1.12.tgz(r-4.6-any)rwc_1.12.tgz(r-4.5-any)
rwc_1.12.tar.gz(r-4.7-any)rwc_1.12.tar.gz(r-4.6-any)
rwc_1.12.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rwc/json (API)

# Install 'rwc' in R:
install.packages('rwc', repos = c('https://ehanks.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.34 score 22 scripts 173 downloads 9 exports 8 dependencies

Last updated from:b35457249f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK221
source / vignettesOK169
linux-release-x86_64OK182
macos-release-arm64OK212
macos-oldrel-arm64OK232
windows-develOK197
windows-releaseOK185
windows-oldrelOK190
wasm-releaseOK113

Exports:cov.from.distdGenWishdist.from.covget.Phiget.Qget.TLmcmc.wish.icarrGenWishrnorm.Q

Dependencies:latticeMASSMatrixmvtnormrasterRcppspterra