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latenetwork  

Inference on LATEs under Network Interference of Unknown Form
View on CRAN: Click here


Download and install latenetwork package within the R console
Install from CRAN:
install.packages("latenetwork")

Install from Github:
library("remotes")
install_github("cran/latenetwork")

Install by package version:
library("remotes")
install_version("latenetwork", "1.0.1")



Attach the package and use:
library("latenetwork")
Maintained by
Takahide Yanagi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-08
Latest Update: 2023-08-08
Description:
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) .
How to cite:
Takahide Yanagi (2023). latenetwork: Inference on LATEs under Network Interference of Unknown Form. R package version 1.0.1, https://cran.r-project.org/web/packages/latenetwork. Accessed 06 Aug. 2026.
Previous versions and publish date:
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Complete documentation for latenetwork
Functions, R codes and Examples using the latenetwork R package
Some associated functions: datageneration . direct . indirect . overall . spillover . 
Some associated R codes: datageneration.R . direct.R . errorhandling.R . indirect.R . overall.R . spillover.R .  Full latenetwork package functions and examples
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