CRAN/E | mvGPS

mvGPS

Causal Inference using Multivariate Generalized Propensity Score

Installation

About

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) . 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.

Citation mvGPS citation info
github.com/williazo/mvGPS
Bug report File report

Key Metrics

Version 1.2.2
R ≥ 3.6
Published 2021-12-07 842 days ago
Needs compilation? no
License MIT
License File
CRAN checks mvGPS results

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Maintainer

Maintainer

Justin Williams

williazo@ucla.edu

Authors

Justin Williams

aut / cre

Material

NEWS
Reference manual
Package source

In Views

CausalInference

Vignettes

mvGPS-intro

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mvGPS archive

Depends

R ≥ 3.6

Imports

Rdpack
MASS
WeightIt
cobalt
matrixNormal
geometry
sp
gbm
CBPS

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