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'))

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

Pkgdown site:https://tkhdyanagi.github.io

On CRAN:

Conda:

econometrics

4.00 score 5 scripts 173 downloads 5 exports 15 dependencies

Last updated 2 years agofrom:7be8d020ab. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-winOKMar 10 2025
R-4.5-macOKMar 10 2025
R-4.5-linuxOKMar 10 2025
R-4.4-winOKMar 10 2025
R-4.4-macOKMar 10 2025
R-4.4-linuxOKMar 10 2025
R-4.3-winOKMar 10 2025
R-4.3-macOKMar 10 2025

Exports:datagenerationdirectindirectoverallspillover

Dependencies:cliclueclustercpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangrpartstatipvctrs

Getting Started with the latenetwork Package

Rendered fromlatenetwork.Rmdusingknitr::rmarkdownon Mar 10 2025.

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

Review of Causal Inference with Noncompliance and Unknown Interference

Rendered fromreview.Rmdusingknitr::rmarkdownon Mar 10 2025.

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