Last data update: 2014.03.03
R: Auxiliary Function to Match Data and Estimate Treatment...
slideWakeMatch R Documentation
Auxiliary Function to Match Data and Estimate Treatment Effects
Description
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
).
Usage
slideWakeMatch(wakes, alpha1, matchColumns, estimation, weighted,
estimationControls, TCM, match.default, ...)
Arguments
wakes
data.frame
. See “wakes” in the description of matchedwake
for details.
alpha1
significance level used for the analysis and plots. Default = 0.05
.
matchColumns
vector of Strings indicating the columns to match on.
estimation
String specifying method 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 cem
.
...
optional parameters that can be passed to the methods used for matching and estimation.
Details
See the description of matchedwake
for details.
Value
Returns a list
with the following slots:
estimates
data.frame
with estimates and p values for all spatial and temporal windows considered.
matching
data.frame
with detailed matching statistics for all spatial and temporal windows considered.
SUTVA
data.frame
with detailed statistics on the degree of overlaps of the spatiotemporal cylinders.
wakes
data.frame
.
See the description of matchedwake
for details.
Author(s)
Sebastian Schutte and Karsten Donnay.
References
Schutte, S., Donnay, K. (2014). “Matched wake analysis: Finding causal relationships in spatiotemporal event data.” Political Geography 41:1-10.
See Also
matchedwake
, slidingWake
Results