regimes

REGression In Multivariate Exposure Settings

Ander Wilson

Overview

The regimes R packages contains regression methods for estimating the relationship between a multivariate exposure and an outcome. The package is oriented toward environmental health and environmental epidemiology research but is applicable in a variety of settings.

Installation

The regimes package can be installed using devtools.

library(devtools)
devtools::install_github(repo="AnderWilson/regimes")
library(regimes)

Methods

acpme: adjustment for confounding in the presence of multivariate exposures

new implementation of bdlim: Bayesian distributed lag interaction models implemented in new package bdlim. This is the recommended package to use for BDLIM.

older implementation of bdlim: Bayesian distributed lag interaction models. This will be removed from the package in the future.

bkmrdlm: Bayesian kernel machine regression distributed lag models