Package: ptycho 1.1-4
Laurel Stell
ptycho: Bayesian Variable Selection with Hierarchical Priors
Bayesian variable selection for linear regression models using hierarchical priors. There is a prior that combines information across responses and one that combines information across covariates, as well as a standard spike and slab prior for comparison. An MCMC samples from the marginal posterior distribution for the 0-1 variables indicating if each covariate belongs to the model for each response.
Authors:
ptycho_1.1-4.tar.gz
ptycho_1.1-4.tar.gz(r-4.5-noble)ptycho_1.1-4.tar.gz(r-4.4-noble)
ptycho_1.1-4.tgz(r-4.4-emscripten)ptycho_1.1-4.tgz(r-4.3-emscripten)
ptycho.pdf |ptycho.html✨
ptycho/json (API)
| # Install 'ptycho' in R: |
| install.packages('ptycho', 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 9 years agofrom:a589616bbc. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 24 2024 |
| R-4.5-linux | NOTE | Aug 24 2024 |
Exports:checkConvergencecreateDatacreateDataBayesModelcreateGroupsSimcreateOrthogonalXcreatePubDataindicGrpColsindicVarColsmeanGrpIndicatorsmeanIndicatorsmeanTaumeanVarIndicatorsptychoptycho.allvarTau
Dependencies:clicodagluelatticelifecyclemagrittrplyrRcppreshape2rlangstringistringrvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Variable Selection with Hierarchical Priors | ptycho-package |
| Compute Differences Between MCMC Chains | checkConvergence |
| Simulate Data | createData createDataBayesModel createPubData |
| Create Groups of Covariates | createGroupsSim |
| Create Design Matrix With Orthogonal Columns | createOrthogonalX |
| Sample Data | Data ptychoIn ptychoOut tinysim |
| MCMC Sampling Loop | mcmcLoop |
| Extract Posterior Statistics | meanGrpIndicators meanIndicators meanTau meanVarIndicators PosteriorStatistics varTau |
| Print ptycho Object | print.ptycho |
| Sample From Posterior Distributions | ptycho ptycho.all |
| Identify Columns Containing Indicator Variables | indicGrpCols indicVarCols WhichCols |