ProfileLikCluster: Function that separates a vector into two groups using...

In justicesuker/DMMD_Package: Double Matched Matrix Decomposition

Function that separates a vector into two groups using profile likelihood

Description

Function that separates a vector into two groups using profile likelihood

Usage

ProfileLikCluster(x, variance = c("equal", "unequal"))

Arguments

x	An ordered (max to min) vector to be clustered into two groups
variance	Either "equal" or "unequal", i.e., whether the assumption is equal variance or unequal variance. If no input is given, equal variance is assumed.

Value

A list that contains the following elements:

index	The index where separates the vector x. The element at the index is considered in the first cluster
profileloglikvec	A vector containing profile log-likelihood for each index

Examples

x = c(20,9.5,9,8,6,5,4.5,3)
ProfileLikCluster(x)

justicesuker/DMMD_Package documentation built on Aug. 6, 2022, 12:34 p.m.