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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latenetwork.pdf |latenetwork.html
latenetwork/json (API)
NEWS

# Install 'latenetwork' in R:
install.packages('latenetwork', repos = c('https://tkhdyanagi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

On CRAN:

econometrics

4.00 score 5 scripts 155 downloads 5 exports 15 dependencies

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

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winOKNov 10 2024
R-4.5-linuxOKNov 10 2024
R-4.4-winOKNov 10 2024
R-4.4-macOKNov 10 2024
R-4.3-winOKNov 10 2024
R-4.3-macOKNov 10 2024

Exports:datagenerationdirectindirectoverallspillover

Dependencies:cliclueclustercpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangrpartstatipvctrs

Getting Started with the latenetwork Package

Rendered fromlatenetwork.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2023-08-07
Started: 2023-04-25

Review of Causal Inference with Noncompliance and Unknown Interference

Rendered fromreview.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2023-07-24
Started: 2023-04-25