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This function performs the Matched Wake Analysis (mwa), which consists of two steps: counts for previous and posterior events are established for different spatial and temporal offsets from treatment and control events. After that, the treatment effect is estimated in a difference-in-differences regression design. For performance reasons, the iterative counting is done in Java using the rJava interface.
● Data Source:
CranContrib
● Keywords:
● Alias: matchedwake
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Overloads the default print() for objects of class matchedwake.
● Data Source:
CranContrib
● Keywords:
● Alias: print.matchedwake
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Overloads the default summary() for objects of class matchedwake.
● Data Source:
CranContrib
● Keywords:
● Alias: summary.matchedwake
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Method iterates through all spatial and temporal window sizes specified and counts dependent events with a given spatial window and for a given temporal window (symmetrically in forward and backward direction in time). For performance reasons, the iterative counting is done in Java using the rJava interface.
● Data Source:
CranContrib
● Keywords:
● Alias: slidingWake
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The package is designed to analyze causal relationships in spatially and temporally referenced data. Specific types of events might affect subsequent levels of other events. To estimate the corresponding effect, treatment, control, and dependent events are selected from the empirical sample. Treatment effects are established through automated matching and a diff-in-diffs regression design. The analysis is repeated for various spatial and temporal offsets from the treatment events.
● Data Source:
CranContrib
● Keywords:
● Alias: mwa-package
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Method takes the output of slidingWake, matches observations using cem and estimates treatment effects using linear models (lm or att) or a count dependent variable model (glm.nb).
● Data Source:
CranContrib
● Keywords:
● Alias: slideWakeMatch
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mwa_data
(Package: mwa) :
Data to Illustrate the Functionality of mwa
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.
● Data Source:
CranContrib
● Keywords:
● Alias: mwa_data
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Overloads the default plot() for objects of class matchedwake. Returns a contour plot: The lighter the color the larger the estimated treatment effect. The corresponding standard errors are indicated by shading out some of the estimates: No shading corresponds to p<alpha1 for the treatment effect in the diff-in-diffs analysis. Dotted lines indicate p-values between alpha1 and alpha2 and full lines indicate p>alpha2. The cells indicating effect size and significance level are arranged in a table where each field corresponds to one specific combination of spatial and temporal sizes.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.matchedwake
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providing 
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