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mvGPS
View on CRAN: Click
here
Download and install mvGPS package within the R console
Install from CRAN:
install.packages("mvGPS")
Install from Github:
library("remotes")
install_github("cran/mvGPS")
Install by package version:
library("remotes")
install_version("mvGPS", "1.2.2")
Attach the package and use:
library("mvGPS")
Maintained by
Justin Williams
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-17
Latest Update: 2021-12-07
Description:
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.
How to cite:
Justin Williams (2020). mvGPS: Causal Inference using Multivariate Generalized Propensity Score. R package version 1.2.2, https://cran.r-project.org/web/packages/mvGPS. Accessed 22 Dec. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for mvGPS
Functions, R codes and Examples using
the mvGPS R package
Some associated functions: D_C_check . X_check . bal . gen_D . hull_sample . mvGPS .
Some associated R codes: bal.R . gen_D.R . hull_sample.R . mvGPS.R . Full mvGPS package functions and examples
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