README.md

In stefanomonni/spavs: Stochastic Partitioning with Variable Selection (to Relate High-Dimensional Data Sets)

spavs

Spavs: Stochastic Partitioning with Variable Selection.

This R package implements a stochastic partitioning method to relate two high-dimensional data sets using a mixture of regression models with variable selection (Monni and Tadesse, 2009). The package provides functions to draw posterior configurations and to compute posterior probabilities.

Reference: S. Monni and M.G. Tadesse. A stochastic partitioning method to associate high-dimensional responses and covariates (with discussion). Bayesian Analysis, 4: 413-436, 2009, https://doi.org/10.1214/09-BA416.

Installation Download the package locally and install with the following command: devtools::install("spavs"); or directly from GitHub using the command: remotes::install_github(“stefanomonni/spavs”)

Keywords: multivariate response; high-dimensional regression; mixture regression models; variable selection; partitioning

stefanomonni/spavs documentation built on April 5, 2022, 1:26 a.m.