CoMiRe-package: Convex Mixture Regression

In CoMiRe: Convex Mixture Regression

Convex Mixture Regression

Description

Posterior inference under the convex mixture regression (CoMiRe) models introduced by Canale, Durante, and Dunson (2018) <doi:10.1111/biom.12917>.

Details

The CoMiRe package implements the convex mixture regresion approach of Canale, Durante, and Dunson (2018) and some extensions to deal with binary response variables or to account for the presence of continuous and categorical confunders. Estimation is conducted via Gibbs sampler. Posterior plots for inference and goodness-of-fit tests are also available.

Author(s)

Antonio Canale [aut, cre], Daniele Durante [ctb], Arianna Falcioni [aut], Luisa Galtarossa [aut], Tommaso Rigon [ctb] Maintainer: Antonio Canale <[e-mail]>

References

Canale, A., Durante, D., and Dunson, D. (2018), Convex Mixture Regression for Quantitative Risk Assessment, Biometrics, 74, 1331-1340

CoMiRe documentation built on Aug. 23, 2023, 5:09 p.m.