zhoulanncsu / potts_dti

Codes for "A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging" Copyright (C) 2018 Zhou Lan ([email protected]) - All Rights Reserved

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 ([email protected]) - 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