DPM_nD: Divergent Partial Moment nD

In NNS: Nonlinear Nonparametric Statistics

Divergent Partial Moment nD

Description

This function generates the aggregate n‑dimensional divergent partial moment (n >= 2) for any degree or target.

Usage

DPM_nD(data, target, degree = 0, norm = TRUE)

Arguments

data	A numeric matrix with observations in rows and variables in columns.
target	A numeric vector, length equal to ncol(data).
degree	numeric; degree for upper deviations (0 = frequency, 1 = area).
norm	logical; if TRUE (default) normalize to the maximum observed value (→ [0,1]), otherwise return the raw moment.

Value

Numeric; the n‑dimensional co‑upper partial moment.

Examples

## Not run: 
mat <- matrix(rnorm(200), ncol = 4)
DPM_nD(mat, rep(0, ncol(mat)), degree = 1, norm = FALSE)

## End(Not run)

NNS documentation built on Nov. 5, 2025, 7:27 p.m.