Package: sparseMVN 0.2.2.9001
sparseMVN: Multivariate Normal Functions for Sparse Covariance and Precision Matrices
Computes multivariate normal (MVN) densities, and samples from MVN distributions, when the covariance or precision matrix is sparse.
Authors:
sparseMVN_0.2.2.9001.tar.gz
sparseMVN_0.2.2.9001.zip(r-4.5)sparseMVN_0.2.2.9001.zip(r-4.4)sparseMVN_0.2.2.9001.zip(r-4.3)
sparseMVN_0.2.2.9001.tgz(r-4.4-any)sparseMVN_0.2.2.9001.tgz(r-4.3-any)
sparseMVN_0.2.2.9001.tar.gz(r-4.5-noble)sparseMVN_0.2.2.9001.tar.gz(r-4.4-noble)
sparseMVN_0.2.2.9001.tgz(r-4.4-emscripten)sparseMVN_0.2.2.9001.tgz(r-4.3-emscripten)
sparseMVN.pdf |sparseMVN.html✨
sparseMVN/json (API)
NEWS
| # Install 'sparseMVN' in R: |
| install.packages('sparseMVN', repos = c('https://braunm.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/braunm/sparsemvn/issues
Last updated 3 years agofrom:8a98eeec92. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-win | OK | Nov 03 2024 |
| R-4.5-linux | OK | Nov 03 2024 |
| R-4.4-win | OK | Nov 03 2024 |
| R-4.4-mac | OK | Nov 03 2024 |
| R-4.3-win | OK | Nov 03 2024 |
| R-4.3-mac | OK | Nov 03 2024 |
Exports:binary.fbinary.gradbinary.hessbinary.simdmvn.sparsermvn.sparse
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Multivariate Normal Functions for Sparse Covariate and Precision Matrices | sparseMVN-package sparseMVN _PACKAGE |
| Binary choice example | binary binary.f binary.grad binary.hess binary.sim |
| Compute density from multivariate normal distribution | dmvn.sparse |
| Sample from multivariate normal distribution | rmvn.sparse |
