Data-driven Local Similarity Analysis
Version: 1.0
Authors: Fang Zhang, Fengzhu Sun, Yihui Luan
Maintainer: Fang Zhang zhangfang5638151@126.com
A novel method is proposed to compute statistical significance of local similarity analysis of dependent data, referred to as DDLSA. This package contains the code to reproduce the results from the manuscript.
Copyright (C) 2017 Shandong University
Authors: Fang Zhang, Fengzhu Sun, Yihui Luan
This program is freely available as an R package at https://github.com/BlueStamford/DDLSA under the terms of the GNU General Public (version 3) as published by the Free Software Foundation (http://www.gnu.org/licenses/#GPL) for academic use.