PatrickPfeifferDSc/bite: Bayesian Inference On Treatment Effects For Panel Data

This package allows the user to estimate treatment effects in panel environments. The package currently implements a shared factor modelling approach which allows for estimation of regression type equations under full posterior inference. Upcoming is a switching regression modelling approach. These models are helpful to deal with correlation between preset factors of the subjects as well as correlation structures in panel outcome.

Getting started

Package details

MaintainerPatrick Pfeiffer <>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
PatrickPfeifferDSc/bite documentation built on Aug. 22, 2019, 9:57 a.m.