R package for testing network dependence
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Updated
Aug 6, 2018 - R
R package for testing network dependence
Causal effects on networks with double machine learning: ATE, direct and peer (spillover) effects with confidence intervals that account for network dependence. scikit-learn and Neo4j integration.
An analysis of the Stanford Wikipedia Admin voting dataset for any key players, reciprocity and peer effects.
Replication study of a randomized peer intervention experiment (Wu et al., 2023) analyzing peer effects on student performance using R.
R package for estimating peer effects in affect on team networks: a fixed-effects linear-in-means model and an outburst-based peer-of-peer IV design. In development.
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