kelrenmor/farva: FActor Regression for Verbal Autopsy (FARVA)

The FActor Regression for Verbal Autopsy (FARVA) method is a novel class of hierarchical factor regression models that avoid restrictive assumptions of standard methods. This approach allows both the mean and covariance to vary with cause of death category and can include covariate information on the decedent (such as age/gender), region (e.g. malaria endemicity or spatial location), or event (e.g., season, year). Taking a Bayesian approach to inference, this work relies on a Gibbs sampling algorithm.

Getting started

Package details

AuthorKelly R. Moran
MaintainerKelly R. Moran <[email protected]>
LicenseWhat license is it under?
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("kelrenmor/farva")
kelrenmor/farva documentation built on Oct. 8, 2019, 7:55 a.m.