T_score: Score Test Statistic
In dpuelz/CliqueRT: Randomization-Based Testing of Causal Effects under General Interference
T_score R Documentation
Score Test Statistic
Description
The Score Test Statistic in Athey et al. (2018). It equals
\mathrm{cov}≤ft( Y_i^{obs}-\hat{α}-\hat{τ}_{d} W_i,~ ∑_{j=1}^N W_j \bar{G}_{ij} \bigg| ∑_{j=1}^N G_{ij} >0, F_i=1 \right).
G is the adjacency matrix and F is the vector of focal indicator.
Usage
T_score(y, z, is_focal)
See Also
Athey et al. (2018) Exact p-Values for Network Interference Equation 7.
dpuelz/CliqueRT documentation built on Jan. 6, 2023, 11:20 p.m.
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| T_score | R Documentation |
Score Test Statistic
Description
The Score Test Statistic in Athey et al. (2018). It equals \mathrm{cov}≤ft( Y_i^{obs}-\hat{α}-\hat{τ}_{d} W_i,~ ∑_{j=1}^N W_j \bar{G}_{ij} \bigg| ∑_{j=1}^N G_{ij} >0, F_i=1 \right). G is the adjacency matrix and F is the vector of focal indicator.
Usage
T_score(y, z, is_focal)
See Also
Athey et al. (2018) Exact p-Values for Network Interference Equation 7.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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