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.
Replication study of a randomized peer intervention experiment (Wu et al., 2023) analyzing peer effects on student performance using R.
An analysis of the Stanford Wikipedia Admin voting dataset for any key players, reciprocity and peer effects.
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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