ash1: univariate ASH

In ash: David Scott's ASH Routines

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

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

Example output

[1] "ash estimate nonzero outside interval ab"

ash documentation built on May 1, 2019, 6:30 p.m.