Experimental function used to fit depth weighted density estimator.
depthDensity(x, y, nx =5, ny =32, xg =NULL, yg =NULL,...)
Arguments
x: numeric vector
y: numeric vector
nx: the number of equally spaced points at which the density is to be estimated in x-dimension.
ny: the number of equally spaced points at which the density is to be estimated in x-dimension.
xg: vector of point at which the density is to be estimated.
yg: vector of point at which the density is to be estimated.
...: arguments passed to depthLocal.
Examples
## Not run:# .sampleData is special function for creating# data for testing conditional denisty estimatorsdata <- DepthProc:::.sampleData(1:5,100)x <- data[,1]y <- data[,2]plot(x, y)dep <- depthDensity(x, y)plot(dep, type ="raw")plot(dep, type ="depth")## End(Not run)
References
Kosiorowski D. and Zawadzki Z. (2014) Notes on optimality of predictive distribution pseudo-estimators in the CHARME models and automatic trading strategies, FindEcon2014, submitted