PM.matrix: Partial Moment Matrix

In NNS: Nonlinear Nonparametric Statistics

Partial Moment Matrix

Description

Builds a list containing CUPM, DUPM, DLPM, CLPM and the overall covariance matrix.

Usage

PM.matrix(LPM_degree, UPM_degree, target, variable, pop_adj, norm = FALSE)

Arguments

LPM_degree	numeric; lower partial moment degree (0 = freq, 1 = area).
UPM_degree	numeric; upper partial moment degree (0 = freq, 1 = area).
target	numeric vector; thresholds for each column (defaults to colMeans).
variable	numeric matrix or data.frame.
pop_adj	logical; TRUE adjusts population vs. sample moments.
norm	logical; default FALSE. If TRUE, each quadrant matrix is cell-wise normalized so their sum is 1 at each (i,j).

Details

Partial Moment Matrix

Value

A list: $cupm, $dupm, $dlpm, $clpm, $cov.matrix.

Examples

set.seed(123)
A <- cbind(rnorm(100), rnorm(100), rnorm(100))
PM.matrix(1, 1, NULL, A, TRUE)          # uses norm = FALSE by default
PM.matrix(1, 1, NULL, A, TRUE, TRUE)    # enable normalization

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