mwa_data: Data to Illustrate the Functionality of mwa
In mwa: Causal Inference in Spatiotemporal Event Data
mwa_data R Documentation
Data to Illustrate the Functionality of mwa
Description
This artificial data set illustrates how mwa can be used to identify causal effects. Treatment, control, and dependent events are referenced in time and space. Increased levels of dependent events following treatments can be visually and numerically analyzed using the package.
Usage
data(mwa_data)
Format
A data.frame containing observations.
Source
Monte Carlo Simulations. See supplementary information of Schutte and Donnay (2014).
References
Schutte, S., Donnay, K. (2014). “Matched wake analysis: Finding causal relationships in spatiotemporal event data.” Political Geography 41:1-10.
mwa documentation built on April 26, 2022, 5:07 p.m.
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| mwa_data | R Documentation |
Data to Illustrate the Functionality of mwa
Description
This artificial data set illustrates how mwa can be used to identify causal effects. Treatment, control, and dependent events are referenced in time and space. Increased levels of dependent events following treatments can be visually and numerically analyzed using the package.
Usage
data(mwa_data)
Format
A data.frame containing observations.
Source
Monte Carlo Simulations. See supplementary information of Schutte and Donnay (2014).
References
Schutte, S., Donnay, K. (2014). “Matched wake analysis: Finding causal relationships in spatiotemporal event data.” Political Geography 41:1-10.
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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