Package: clusteredinterference 1.0.1

clusteredinterference: Causal Effects from Observational Studies with Clustered Interference

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) <arxiv:1711.04834>.

Authors:Brian G. Barkley [aut, cre], Bradley Saul [ctb]

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Bug tracker:https://github.com/barkleybg/clusteredinterference/issues

On CRAN:

2 exports 7 stars 1.24 score 14 dependencies 11 scripts 51 downloads

Last updated 5 years agofrom:2a56e8fd06. Checks:OK: 1 ERROR: 6. Indexed: yes.

Exports:makeTargetGridpolicyFX

Dependencies:bootcubatureFormulalatticelme4MASSMatrixminqanlmenloptrnumDerivRcppRcppEigenrootSolve