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netchain  

Inferring Causal Effects on Collective Outcomes under Interference
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("netchain", "0.2.0")



Attach the package and use:
library("netchain")
Maintained by
Youjin Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-16
Latest Update: 2020-02-16
Description:
In networks, treatments may spill over from the treated individual to his or her social contacts and outcomes may be contagious over time. Under this setting, causal inference on the collective outcome observed over all network is often of interest. We use chain graph models approximating the projection of the full longitudinal data onto the observed data to identify the causal effect of the intervention on the whole outcome. Justification of such approximation is demonstrated in Ogburn et al. (2018) .
How to cite:
Youjin Lee (2019). netchain: Inferring Causal Effects on Collective Outcomes under Interference. R package version 0.2.0, https://cran.r-project.org/web/packages/netchain. Accessed 02 Feb. 2025.
Previous versions and publish date:
0.1.0 (2019-01-16 19:40), 0.2.0 (2020-02-16 23:10)
Other packages that cited netchain R package
View netchain citation profile
Other R packages that netchain depends, imports, suggests or enhances
Functions, R codes and Examples using the netchain R package
Some associated functions: causal.influence . chain.causal.multi . chaingibbs . multiloglikechain . multimainfunction . multipartition . netchain-package . simGibbs . 
Some associated R codes: RcppExports.R . chaingibbs.R . generaleffect.R . influence.R . simGibbs.R .  Full netchain package functions and examples
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