univariate ASH
Computes univariate averaged shifted histogram (polynomial kernel)
ash1(bins, m, kopt)
bins |
(input list) |
m |
(input) optional integer smoothing parameter; default=5. |
kopt |
(input) vector of length 2 specifying the kernel, which is proportional to ( 1 - abs(i/m)^kopt(1) )i^kopt(2); (2,2)=biweight (default); (0,0)=uniform; (1,0)=triangle; (2,1)=Epanechnikov; (2,3)=triweight. |
returns structure suitable for input to plot
dd
x=t |
vector of bin center locations |
y=f |
vector of ash estimates |
ier |
0=normal exit; 1=estimate nonzero outside interval ab |
x <- rnorm(100) # data f <- ash1(bin1(x,nbin=50),5) # compute ash estimate plot( f , type="l" ) # line plot of estimate
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