DCSmooth (version 1.1.2)

kernel.assign: Assign a Kernel Function

Description

Assign a Kernel Function

Usage

kernel.assign(kernel_id)

Arguments

kernel_id

a string specifying the kernel identifier as given in the details.

Value

kernel.assign returns an object of class "function". This function takes two arguments, a numeric vector in the first argument and a single number in the second. The function itself will return a matrix with one column and the same number of rows as the input vector.

Details

kernel.assign sets a pointer to a specified kernel function available in the DCSmooth package. The kernels are boundary kernels of the form \(K(u,q)\), where \(u \in [-1, q]\) and \(q \in [0, 1]\) q = [0, 1]. Kernels are of the M<U+00FC>ller-Wang type ("MW"), M<U+00FC>ller type ("M") or truncated kernels ("TR").

References

M<U+00FC>ller, H.-G. and Wang, J.-L. (1994). Hazard rate estimation under random censoring with varying kernels and bandwidths. Biometrics, 50:61-76.

M<U+00FC>ller, H.-G. (1991). Smooth optimum kernel estimators near endpoints. Biometrika, 78:521-530.

Feng, Y. and Sch<U+00E4>fer B. (2021). Boundary Modification in Local Regression. Working Papers CIE 144, Paderborn University.

See Also

kernel.list

Examples

# NOT RUN {
 # See vignette("DCSmooth") for further examples and explanation

u <- seq(from = -1, to = 0.5, length.out = 151)
kern_MW220 <- kernel.assign("MW_220")
k <- kern_MW220(u, 0.5)
plot(u, k, type = "l") 

# }