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NEWS.md
In flexCausal: Causal Effect Estimation via Doubly Robust One-Step Estimators and TMLE in Graphical Models with Unmeasured Variables
flexCausal 0.1.0
- Initial CRAN release providing doubly robust one-step and TMLE estimators for ADMGs with latent variables.
- Bundled graph functions (
make.graph(), f.parents(), etc.) to streamline identifiability checks.
- Added simulated datasets (
data_example_a, data_example_b, data_backdoor) to reproduce README/vignette examples.
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flexCausal documentation built on March 29, 2026, 5:08 p.m.
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flexCausal 0.1.0
- Initial CRAN release providing doubly robust one-step and TMLE estimators for ADMGs with latent variables.
- Bundled graph functions (
make.graph(),f.parents(), etc.) to streamline identifiability checks. - Added simulated datasets (
data_example_a,data_example_b,data_backdoor) to reproduce README/vignette examples.
Try the flexCausal package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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