Package: mBvs 1.92
mBvs: Bayesian Variable Selection Methods for Multivariate Data
Bayesian variable selection methods for data with multivariate responses and multiple covariates. The package contains implementations of multivariate Bayesian variable selection methods for continuous data (Lee et al., Biometrics, 2017 <doi:10.1111/biom.12557>) and zero-inflated count data (Lee et al., Biostatistics, 2020 <doi:10.1093/biostatistics/kxy067>).
Authors:
mBvs_1.92.tar.gz
mBvs_1.92.zip(r-4.5)mBvs_1.92.zip(r-4.4)mBvs_1.92.zip(r-4.3)
mBvs_1.92.tgz(r-4.5-x86_64)mBvs_1.92.tgz(r-4.5-arm64)mBvs_1.92.tgz(r-4.4-x86_64)mBvs_1.92.tgz(r-4.4-arm64)mBvs_1.92.tgz(r-4.3-x86_64)mBvs_1.92.tgz(r-4.3-arm64)
mBvs_1.92.tar.gz(r-4.5-noble)mBvs_1.92.tar.gz(r-4.4-noble)
mBvs_1.92.tgz(r-4.3-emscripten)
mBvs.pdf |mBvs.html✨
mBvs/json (API)
| # Install 'mBvs' in R: |
| install.packages('mBvs', repos = c('https://kleest0.r-universe.dev', 'https://cloud.r-project.org')) |
- simData_cont - A simulated data set containing multivariate normal responses and continuous covariates
- simData_mzip - A simulated data set containing multivariate zero-inflated count responses and a continuous covariate
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:9589167444. Checks:11 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 10 2025 |
| R-4.5-win-x86_64 | OK | Feb 10 2025 |
| R-4.5-mac-x86_64 | OK | Feb 10 2025 |
| R-4.5-mac-aarch64 | OK | Feb 10 2025 |
| R-4.5-linux-x86_64 | OK | Feb 10 2025 |
| R-4.4-win-x86_64 | OK | Feb 10 2025 |
| R-4.4-mac-x86_64 | OK | Feb 10 2025 |
| R-4.4-mac-aarch64 | OK | Feb 10 2025 |
| R-4.3-win-x86_64 | OK | Feb 10 2025 |
| R-4.3-mac-x86_64 | OK | Feb 10 2025 |
| R-4.3-mac-aarch64 | OK | Feb 10 2025 |
Exports:initiate_startValuesmmzipBvsmvnBvsmzipBvs
Dependencies:mvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Variable Selection Methods for Multivariate Data | mBvs-package mBvs |
| The function that initiates starting values | initiate_startValues |
| Methods for objects of class, 'mvnBvs', 'mzipBvs', and 'mmzipBvs'. | print.mmzipBvs print.mvnBvs print.mzipBvs print.summ.mmzipBvs print.summ.mvnBvs print.summ.mzipBvs summary.mmzipBvs summary.mvnBvs summary.mzipBvs |
| The function to perform variable selection for marginalized multivariate zero-inflated Poisson models | mmzipBvs |
| The function to perform variable selection for multivariate normal responses | mvnBvs |
| The function to perform variable selection for conditional multivariate zero-inflated Poisson models | mzipBvs |
| A simulated data set containing multivariate normal responses and continuous covariates | simData_cont |
| A simulated data set containing multivariate zero-inflated count responses and a continuous covariate | simData_mzip |
