clusteredinterference: Draw Causal Inference from Observational Studies with...
In BarkleyBG/clusteredinterference: Causal Effects from Observational Studies with Clustered Interference
Description
clusteredinterference implements the estimators from Barkley et al.
(2017) Causal Inference from Observational Studies with Clustered
Interference <arXiv:1711.04834>. These are inverse probability of
treatment-weighted estimators for estimating the causal effects on outcomes
of population-level treatment policies.
Details
These estimators are implemented in one function, policyFX. A
healthy amount of documentation can be found in the vignette included in this
package: vignette("estimate-policyFX").
BarkleyBG/clusteredinterference documentation built on July 18, 2019, 9:18 a.m.
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Description
clusteredinterference implements the estimators from Barkley et al. (2017) Causal Inference from Observational Studies with Clustered Interference <arXiv:1711.04834>. These are inverse probability of treatment-weighted estimators for estimating the causal effects on outcomes of population-level treatment policies.
Details
These estimators are implemented in one function, policyFX. A
healthy amount of documentation can be found in the vignette included in this
package: vignette("estimate-policyFX").
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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