poworoznek/infinitefactor: Bayesian Infinite Factor Models

Sampler and post-processing functions for semi-parametric Bayesian infinite factor models, motivated by the Multiplicative Gamma Shrinkage Prior of Bhattacharya and Dunson (2011) <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3419391/>. Contains component C++ functions for building samplers for linear and 2-way interaction factor models using the multiplicative gamma and Dirichlet-Laplace shrinkage priors. The package also contains post processing functions to return matrices that display rotational ambiguity to identifiability through successive application of orthogonalization procedures and resolution of column label and sign switching. This package was developed with the support of the National Institute of Environmental Health Sciences grant 1R01ES028804-01.

Getting started

Package details

AuthorEvan Poworoznek
MaintainerEvan Poworoznek <infinitefactorpackage@gmail.com>
LicenseGPL-2
Version1.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("poworoznek/infinitefactor")
poworoznek/infinitefactor documentation built on April 7, 2020, 1:10 p.m.