bin: the binwidth (defaults to 2*sd(runvar)*length(runvar)^(-.5))
bw: the bandwidth to use (by default uses bandwidth selection calculation from McCrary (2008))
verbose: logical flag specifying whether to print diagnostic information to the terminal. (defaults to FALSE)
plot: logical flag indicating whether to plot the histogram and density estimations (defaults to TRUE). The user may wrap this function in additional graphical options to modify the plot.
ext.out: logical flag indicating whether to return extended output. When FALSE (the default) DCdensity will return only the p-value of the test. When TRUE, DCdensity will return the additional information documented below.
htest: logical flag indicating whether to return an "htest" object compatible with base R's hypothesis test output.
Returns
If ext.out is FALSE, only the p value will be returned. Additional output is enabled when ext.out is TRUE. In this case, a list will be returned with the following elements: - theta: the estimated log difference in heights at the cutpoint
se: the standard error of theta
z: the z statistic of the test
p: the p-value of the test. A p-value below the significance threshhold indicates that the user can reject the null hypothesis of no sorting.
binsize: the calculated size of bins for the test
bw: the calculated bandwidth for the test
cutpoint: the cutpoint used
data: a dataframe for the binning of the histogram. Columns are cellmp (the midpoints of each cell) and cellval (the normalized height of each cell)
McCrary, Justin. (2008) "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics. 142(2): 698-714. http://dx.doi.org/10.1016/j.jeconom.2007.05.005