| Name : R-CIMTx
| |
| Version : 1.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.14.1
| Date : 2024-06-21 17:25:50
|
| Group : Development/Libraries/Other
| Source RPM : R-CIMTx-1.2.0-lp155.14.1.src.rpm
|
| Size : 0.27 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Causal Inference for Multiple Treatments with a Binary Outcome
|
Description :
Different methods to conduct causal inference for multiple treatments
with a binary outcome, including regression adjustment, vector
matching, Bayesian additive regression trees, targeted maximum
likelihood and inverse probability of treatment weighting using
different generalized propensity score models such as multinomial
logistic regression, generalized boosted models and super learner. For
more details, see the paper by Hu et al.
< doi:10.1177/0962280220921909>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
