farva-package: FActor Regression for Verbal Autopsy (FARVA)

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

FActor Regression for Verbal Autopsy (FARVA)

Description

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.

Details

The DESCRIPTION file: This package was not yet installed at build time.
Index: This package was not yet installed at build time.
~~ An overview of how to use the package, including the most important functions ~~

Author(s)

Kelly R. Moran

Maintainer: Kelly R. Moran <[e-mail]>

References

~~ Literature or other references for background information ~~

Examples

~~ simple examples of the most important functions ~~

kelrenmor/farva documentation built on April 7, 2023, 9:19 a.m.