D_C_check

numeric matrix of dimension \(n\) by \(m\) designating values of the exposures

either a list of numeric matrices of length \(m\) of dimension 
\(n\) by \(p_j\) designating values of the confounders for each exposure 
value or if <code>common</code> is TRUE a single matrix of of dimension \(n\) by
\(p\) that represents common confounders for all exposures.

logical indicator for whether C is a single matrix of common
confounders for all exposures. default is FALSE meaning C must be specified
as list of confounders of length \(m\).

common

Internal function for formatting and checking specification of exposures and
confounders

internal

Methods for estimating and utilizing the multivariate generalized
propensity score (mvGPS) for multiple continuous exposures described in
Williams, J.R, and Crespi, C.M. (2020) <arxiv:2008.13767>. The methods allow
estimation of a dose-response surface relating the joint distribution of multiple
continuous exposure variables to an outcome. Weights are constructed assuming a
multivariate normal density for the marginal and conditional distribution of
exposures given a set of confounders. Confounders can be different for different
exposure variables. The weights are designed to achieve balance across all
exposure dimensions and can be used to estimate dose-response surfaces.

D_C_check: Internal function for formatting and checking specification of exposures and confounders

Description

Usage

Arguments