To estimate density function based on data with rounding errors.
bootkde(x,freq,a,b,from, to, gridsize=512L,method='boot')
raw data if 'freq' missing, otherwise as distinct values with frequencies.
the lower and upper bounds of the rounding error.
start point, end point and size of a fine grid where the distribution will be evaluated.
type estimate: "mle" or "Berkson", or "boot" (default).
Estimated values of the smooth function over a fine grid.
grid points where the smoothed function are evaluated.
return 'bw' for Berkson method, or return the mean and SD for MLE method
Wang, B and Wertelecki, W, (2013) Computational Statistics and Data Analysis, 65: 4-12.
# NOT RUN { #data(ofc) #x0 = round(ofc$Head) x0 = round(rnorm(100,34.5,1.6)) fx1 = bootkde(x0,a=-0.5,b=0.5,method="Berkson") # }
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