Skip to content

Codes for "A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging" Copyright (C) 2018 Zhou Lan (zlan@ncsu.edu) - All Rights Reserved

License

Notifications You must be signed in to change notification settings

ZhouLanNCSU/Potts_DTI

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

31 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Potts_DTI

Codes for "A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging"(arxiv)

Copyright (C) 2018 Zhou Lan (zlan@ncsu.edu) - All Rights Reserved
1. The codes are written in Rcpp, please make sure you have complier ready for c++ library. If you use Mac system, see http://thecoatlessprofessor.com/programming/r-compiler-tools-for-rcpp-on-macos/.
2. The MAIN_CODES.R contains all functions for implementation, please source it and install all the required packages before implementation
3. The function "Potts_Bayesian_Semi_Multi()" is the main function for implementation
4. A example script is provided in Example_SimA.html and Example_SimB.html

About

Codes for "A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging" Copyright (C) 2018 Zhou Lan (zlan@ncsu.edu) - All Rights Reserved

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages