slideWakeMatch | R Documentation |
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
).
slideWakeMatch(wakes, alpha1, matchColumns, estimation, formula, weighted, estimationControls, TCM, match.default, match.details, ...)
wakes |
|
alpha1 |
significance level used for the analysis and plots. Default = |
matchColumns |
vector of Strings indicating the columns to match on. |
estimation |
String specifying method used for estimation. |
formula |
String specifying the model used for estimation. |
weighted |
Boolean specifying whether regression is weighted. |
estimationControls |
vector of Strings indicating additional control dimensions to be included in the estimation. |
TCM |
Boolean to select whether the method should match on counts of previous treatment and control instances. |
match.default |
Boolean to select whether observations are matched using |
match.details |
Boolean to select whether detailed matching statistics are returned from |
... |
optional parameters that can be passed to the methods used for matching and estimation. |
See the description of matchedwake
for details.
Returns a list
with the following slots:
estimates |
|
matching |
|
SUTVA |
|
wakes |
|
matched |
|
bins |
|
See the description of matchedwake
for details.
Sebastian Schutte and Karsten Donnay.
Schutte, S., Donnay, K. (2014). “Matched wake analysis: Finding causal relationships in spatiotemporal event data.” Political Geography 41:1-10.
matchedwake
, slidingWake
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