clusteredinterference

Causal Effects from Observational Studies with Clustered Interference

CRAN Package

Estimating causal effects from observational studies assuming clustered (or partial) interference. These inverse probability-weighted estimators target new estimands arising from population-level treatment policies. The estimands and estimators are introduced in Barkley et al. (2017) .

  • Version1.0.1
  • R version≥ 3.2
  • LicenseGPL-3
  • Needs compilation?No
  • Last release03/18/2019

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  • Depends1 package
  • Imports5 packages
  • Suggests5 packages