Package: mniw 1.0.2
mniw: The Matrix-Normal Inverse-Wishart Distribution
Density evaluation and random number generation for the Matrix-Normal Inverse-Wishart (MNIW) distribution, as well as the the Matrix-Normal, Matrix-T, Wishart, and Inverse-Wishart distributions. Core calculations are implemented in a portable (header-only) C++ library, with matrix manipulations using the 'Eigen' library for linear algebra. Also provided is a Gibbs sampler for Bayesian inference on a random-effects model with multivariate normal observations.
Authors:
mniw_1.0.2.tar.gz
mniw_1.0.2.zip(r-4.5)mniw_1.0.2.zip(r-4.4)mniw_1.0.2.zip(r-4.3)
mniw_1.0.2.tgz(r-4.4-x86_64)mniw_1.0.2.tgz(r-4.4-arm64)mniw_1.0.2.tgz(r-4.3-x86_64)mniw_1.0.2.tgz(r-4.3-arm64)
mniw_1.0.2.tar.gz(r-4.5-noble)mniw_1.0.2.tar.gz(r-4.4-noble)
mniw_1.0.2.tgz(r-4.4-emscripten)mniw_1.0.2.tgz(r-4.3-emscripten)
mniw.pdf |mniw.html✨
mniw/json (API)
NEWS
# Install 'mniw' in R: |
install.packages('mniw', repos = c('https://mlysy.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mlysy/mniw/issues
- Hospitals - Hospital profiling data.
Last updated 2 months agofrom:ef05408960. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win-x86_64 | OK | Oct 31 2024 |
R-4.5-linux-x86_64 | OK | Oct 31 2024 |
R-4.4-win-x86_64 | OK | Oct 31 2024 |
R-4.4-mac-x86_64 | OK | Oct 31 2024 |
R-4.4-mac-aarch64 | OK | Oct 31 2024 |
R-4.3-win-x86_64 | OK | Oct 31 2024 |
R-4.3-mac-x86_64 | OK | Oct 31 2024 |
R-4.3-mac-aarch64 | OK | Oct 31 2024 |
Exports:crossprodVdiwishdmNormdMNormdMTdwishdwishartriwishrmniwrMNIWrmNormrMNormrMTrRxNormrwishrwishartRxNormLM
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Tools for the Matrix-Normal Inverse-Wishart distribution. | mniw-package mniw |
Matrix cross-product. | crossprodV |
Hospital profiling data. | Hospitals |
The Matrix-Normal distribution. | dMNorm MatrixNormal MatrixNormal-dist rMNorm |
The Matrix-t distribution. | dMT MatrixT MatrixT-dist rMT |
Generate samples from the Matrix-Normal Inverse-Wishart distribution. | MNIW MNIW-dist rMNIW rmniw |
The Multivariate Normal distribution. | dmNorm MultiNormal MultiNormal-dist rmNorm |
Conditional sampling for Multivariate-Normal Random-Effects model. | rRxNorm |
Bayesian inference for a random-effects regression model. | RxNormLM |
Wishart and Inverse-Wishart distributions. | diwish dwish dwishart riwish rwish rwishart Wishart Wishart-dist |