mvGPS
Causal Inference using Multivariate Generalized Propensity Score
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) doi:10.48550/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.
- Version1.2.2
- R version≥ 3.6
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- mvGPS citation info
- Last release12/07/2021
Documentation
Team
Justin Williams
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports9 packages
- Suggests7 packages