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NEWS.md
In clusteredinterference: Causal Effects from Observational Studies with Clustered Interference
clusteredinterference 1.0.0.9000
clusteredinterference 1.0.0
- Initial CRAN release of 'clusteredinterference' package!
- This package implements the estimators proposed in Barkley et al. (2017), Causal Inference from Observational Studies with Clustered Interference for estimating the causal effects of different treatment policies in the presence of partial or clustered interference.
- See the estimation function
policyFX() for more information.
Try the clusteredinterference package in your browser
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clusteredinterference documentation built on May 1, 2019, 9:26 p.m.
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clusteredinterference 1.0.0.9000
clusteredinterference 1.0.0
- Initial CRAN release of 'clusteredinterference' package!
- This package implements the estimators proposed in Barkley et al. (2017), Causal Inference from Observational Studies with Clustered Interference for estimating the causal effects of different treatment policies in the presence of partial or clustered interference.
- See the estimation function
policyFX()for more information.
Try the clusteredinterference 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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