| Name : R-CausalModels
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.4.1
| Date : 2022-10-08 16:01:52
|
| Group : Development/Libraries/Other
| Source RPM : R-CausalModels-0.1.0-lp154.4.1.src.rpm
|
| Size : 0.09 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Causal Inference Modeling for Estimation of Causal Effects
|
Description :
Provides an array of statistical models common in causal inference such
as standardization, IP weighting, propensity matching, outcome
regression, and doubly-robust estimators. Estimates of the average
treatment effects from each model are given with the standard error and
a 95% Wald confidence interval (Hernan, Robins (2020)
< https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/>).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
