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, ...)Returns a list with the following slots:
data.frame with estimates and p values for all spatial and temporal windows considered.
data.frame with detailed matching statistics for all spatial and temporal windows considered.
data.frame with detailed statistics on the degree of overlaps of the spatiotemporal cylinders.
data.frame.
See the description of matchedwake for details.
data.frame. See ``wakes'' in the description of matchedwake for details.
significance level used for the analysis and plots. Default = 0.05.
vector of Strings indicating the columns to match on.
String specifying method used for estimation.
String specifying the model used for estimation.
Boolean specifying whether regression is weighted.
vector of Strings indicating additional control dimensions to be included in the estimation.
Boolean to select whether the method should match on counts of previous treatment and control instances.
Boolean to select whether observations are matched using cem.
optional parameters that can be passed to the methods used for matching and estimation.
Sebastian Schutte and Karsten Donnay.
See the description of matchedwake for details.
Schutte, S., Donnay, K. (2014). ``Matched wake analysis: Finding causal relationships in spatiotemporal event data.'' Political Geography 41:1-10.
matchedwake, slidingWake