Introduction | The package in use | The Gaussian process | Functions of several complex variables | Numerical illustration of these ideas | Conclusions
Package: cmvnorm 1.1-2
cmvnorm: The Complex Multivariate Gaussian Distribution
Various utilities for the complex multivariate Gaussian distribution and complex Gaussian processes.
Authors:
cmvnorm_1.1-2.tar.gz
cmvnorm_1.1-2.zip(r-4.7)cmvnorm_1.1-2.zip(r-4.6)cmvnorm_1.1-2.zip(r-4.5)
cmvnorm_1.1-2.tgz(r-4.6-any)cmvnorm_1.1-2.tgz(r-4.5-any)
cmvnorm_1.1-2.tar.gz(r-4.7-any)cmvnorm_1.1-2.tar.gz(r-4.6-any)
cmvnorm_1.1-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cmvnorm/json (API)
| # Install 'cmvnorm' in R: |
| install.packages('cmvnorm', repos = c('https://robinhankin.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/robinhankin/cmvnorm/issues
Last updated from:c34be4ce26. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 105 | ||
| source / vignettes | OK | 216 | ||
| linux-release-x86_64 | OK | 102 | ||
| macos-release-arm64 | OK | 67 | ||
| macos-oldrel-arm64 | OK | 68 | ||
| windows-devel | OK | 69 | ||
| windows-release | OK | 68 | ||
| windows-oldrel | OK | 78 | ||
| wasm-release | OK | 105 |
Exports:complex_CFcorr_complexdcmvnormIm<-interpolant.quick.complexisHermitianishpdrcmvnormrcnormrcwisRe<-scales.likelihood.complexsdvarzapim
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The Complex Multivariate Gaussian Distribution | cmvnorm-package cmvnorm |
| Complex Gaussian processes | complex_CF corr_complex interpolant.quick.complex scales.likelihood.complex |
| Is a Matrix Hermitian? | isHermitian ishpd zapim |
| Multivariate complex Gaussian density and random deviates | dcmvnorm Mvcnorm rcmvnorm rcnorm |
| Manipulate real or imaginary components of an object | Im<- Re<- |
| Variance and standard deviation of complex vectors | sd sd.complex sd.default var var.complex var.default |
| The complex Wishart distribution | rcwis rwis wishart |
