Package: svmf 1.0
Michail Tsagris
svmf: The Scaled von Mises-Fisher Distribution
Functions to perform maximum likelihood estimation of and random value simulation from the scaled von Mises-Fisher distribution. The distribution is elliptical symmetric and can be applied to spherical and hyper-spherical data. The reference paper is Scealy J.L. and Wood A.T.A. (2019), <doi:10.1080/01621459.2019.1585249>.
Authors:
svmf_1.0.tar.gz
svmf_1.0.tar.gz(r-4.7-any)svmf_1.0.tar.gz(r-4.6-any)
svmf_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
svmf/json (API)
| # Install 'svmf' in R: |
| install.packages('svmf', 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:95f03a4d82. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 102 | ||
| source / vignettes | OK | 135 | ||
| linux-release-x86_64 | OK | 109 | ||
| wasm-release | OK | 94 |
Dependencies:RcppRcppArmadilloRcppParallelRfastzigg
