| Name : R-riAFTBART
| |
| Version : 0.3.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.2
| Date : 2024-06-14 12:01:45
|
| Group : Development/Libraries/Other
| Source RPM : R-riAFTBART-0.3.3-lp153.1.2.src.rpm
|
| Size : 0.11 MB
| |
| Packager : (none)
| |
| Summary : A Flexible Approach for Causal Inference with Multiple Treatments and Clustered Survival Outcomes
|
Description :
Random-intercept accelerated failure time (AFT) model utilizing
Bayesian additive regression trees (BART) for drawing causal inferences
about multiple treatments while accounting for the multilevel survival
data structure. It also includes an interpretable sensitivity analysis
approach to evaluate how the drawn causal conclusions might be altered
in response to the potential magnitude of departure from the no
unmeasured confounding assumption.This package implements the methods
described by Hu et al. (2022) < doi:10.1002/sim.9548>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
