| LPT {LPKsample} | R Documentation |
eLP Transformation
Description
Empirical LP Transformation on the data
Usage
LPT(x, k);
LP.Poly(x, m);
Arguments
x |
A column vector of the data |
k |
An integer, order of LP component for transformation |
m |
An integer, maximum order of LP component for transformation |
Details
Given a vector of data x, the LPT(x,k) function computes the vector of eLP component of order specified by k for x. While the LP.Poly(x,m) function computes all components up until m.
Value
A vector containing the elements of k-th order component of the eLP transformation on x (LPT);
Or a matrix with columns of 1 to m-th order component of the eLP transformation on x (LP.Poly);
Author(s)
Mukhopadhyay, S. and Wang, K.
References
Mukhopadhyay, S. and Wang, K. (2020), "A Nonparametric Approach to High-dimensional K-sample Comparison Problem", arXiv:1810.01724.
Mukhopadhyay, S. and Parzen, E. (2014) "LP Approach to Statistical Modeling", arXiv:1405.2601.
Examples
##
x<-runif(10)
LPT(x,1)