c_s_h {cgAUC}

c_s_h

Description

Smooth function.

Usage

c_s_h(t, h)

Arguments

t

A value, the difference between any two subjects.

h

The value of h falls into (n^(-1/2), n^(-1/5)).

Details

Smooth function.

Value

s_h

The value of smooth function.

Author(s)

Yu-chia Chang

References

Chang, YCI. Maximizing an ROC type measure via linear combination of markers when the gold reference is continuous. Statistics in Medicine 2012.
Obuchowski NA. An ROC-type measure of diagnostic accuracy when the gold standard is continuous-scale. Statistics in Medicine 2006; 25:481–493.
Obuchowski N. Estimating and comparing diagnostic tests accuracy when the gold standard is not binary. Statistics in Medicine 2005; 20:3261–3278.
Friedman JH, Popescu BE. Gradient directed regularization for linear regression and classification. Technical Report, Department of Statistics, Stanford University, 2004.

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function(t, h) {
    .Call('cgAUC_c_s_h', PACKAGE = 'cgAUC', t, h)
}