kmmd: Compute the kmmd for one sample 'y'

In AnthonyEbert/EasyMMD: Allows users to compute the Maximum Mean Discrepancy (MMD) between two samples.

Compute the kmmd for one sample y

Description

Compute the kmmd for one sample y

Usage

kmmd(y, w_y = NULL, var = 1, threshold = Inf, approx_exp = 0)

Arguments

y	either a numeric vector or matrix with number of rows equal to number of observations and number of columns equal to dimension of observations.
w_y	numeric weights for y.
var	matrix kernel variance covariance matrix.
threshold	numeric filter out values for exponentiation.
approx_exp	integer; if 0 the usual function for the exponential distribution is used; if 1 a much faster but less accurate version of the exponential distribution is used.

AnthonyEbert/EasyMMD documentation built on March 29, 2022, 8:55 p.m.