Package: evgmrf 0.1.0
Ben Youngman
evgmrf: Gaussian Markov Random Field Models for Extreme Values
Fitting extreme value distributions with parameters that vary according to Gaussian Markov random fields (GMRFs). For details of distributions see Coles, S.G. (2001) <doi:10.1007/978-1-4471-3675-0>, GMRFs see Rue, H., & Held, L. (2005) <doi:10.1201/9780203492024>, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>.
Authors:
evgmrf_0.1.0.tar.gz
evgmrf_0.1.0.zip(r-4.7-x86_64)evgmrf_0.1.0.zip(r-4.7-arm64)evgmrf_0.1.0.zip(r-4.6-x86_64)evgmrf_0.1.0.zip(r-4.6-arm64)
evgmrf_0.1.0.tar.gz(r-4.7-arm64)evgmrf_0.1.0.tar.gz(r-4.7-x86_64)evgmrf_0.1.0.tar.gz(r-4.6-arm64)evgmrf_0.1.0.tar.gz(r-4.6-x86_64)
evgmrf_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
evgmrf/json (API)
| # Install 'evgmrf' in R: |
| install.packages('evgmrf', 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 from:89d6e11d17. Checks:10 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 154 | ||
| linux-devel-x86_64 | OK | 156 | ||
| source / vignettes | OK | 242 | ||
| linux-release-arm64 | OK | 158 | ||
| linux-release-x86_64 | OK | 471 | ||
| windows-devel-arm64 | OK | 314 | ||
| windows-devel-x86_64 | OK | 263 | ||
| windows-release-arm64 | OK | 314 | ||
| windows-release-x86_64 | OK | 188 | ||
| wasm-release | OK | 159 |
Exports:evgmrfevgmrf.controlindex2Wtighten
Dependencies:clidotCall64gluegridExtragtablelatticelifecycleMatrixRcppRcppArmadilloRcppEigenrlangspamsparseinv
