| Name : R-mvGPS
| |
| Version : 1.2.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.10.1
| Date : 2024-07-29 11:27:45
|
| Group : Development/Libraries/Other
| Source RPM : R-mvGPS-1.2.2-lp153.10.1.src.rpm
|
| Size : 0.19 MB
| |
| Packager : (none)
| |
| Summary : Causal Inference using Multivariate Generalized Propensity Score
|
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) < 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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
