ash (version 1.0-15)

ash1: univariate ASH

Description

Computes univariate averaged shifted histogram (polynomial kernel)

Usage

ash1(bins, m, kopt)

Arguments

bins
(input list) $nc=integer vector of bin counts and $ab=bin interval
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.

Value

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

See Also

bin1

Examples

Run this code
x <- rnorm(100)         # data
f <- ash1(bin1(x,nbin=50),5) # compute ash estimate
plot( f , type="l" )    # line plot of estimate

Run the code above in your browser using DataCamp Workspace