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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

arxiv.org/abs/1903.07509

GPL-3.0 license

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Name		Name	Last commit message	Last commit date
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Example_SimA.Rmd		Example_SimA.Rmd
Example_SimB.Rmd		Example_SimB.Rmd
LICENSE		LICENSE
MAIN_FUNCTION.R		MAIN_FUNCTION.R
README.md		README.md

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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

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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

arxiv.org/abs/1903.07509

matrices neuroimaging positive bayesian nonparametric definite

GPL-3.0 license

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