Package: latenetwork 1.0.1

latenetwork: Inference on LATEs under Network Interference of Unknown Form

Estimating causal parameters in the presence of treatment spillover is of great interest in statistics. This package provides tools for instrumental variables estimation of average causal effects under network interference of unknown form. The target parameters are the local average direct effect, the local average indirect effect, the local average overall effect, and the local average spillover effect. The methods are developed by Hoshino and Yanagi (2023) <doi:10.48550/arXiv.2108.07455>.

Authors:Tadao Hoshino [aut, cph], Takahide Yanagi [aut, cre, cph]

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Bug tracker:https://github.com/tkhdyanagi/latenetwork/issues

On CRAN:

econometrics

5 exports 0.62 score 15 dependencies 5 scripts 167 downloads

Last updated 1 years agofrom:7be8d020ab. Checks:OK: 7. Indexed: yes.

Exports:datagenerationdirectindirectoverallspillover

Dependencies:cliclueclustercpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangrpartstatipvctrs