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This project is an extension of the Gaussian Mixture Regression (GMR) model to handel censored multivariate responses.

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GanzhongTian/CensGMR

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CensGMR

CensGMR verion: 1.0

Authors: Ganzhong Tian gavin.tian@emory.edu; Benjamin Risk benjamin.risk@emory.edu

This project is an extension of the Gaussian Mixture Regression (GMR) model to handel censored multivariate responses.

The MixCenMVReg_EM.R is an EM algorithm implementation of the Censored GMR model with multivariate responses, whereas MixCenUVReg_EM.R is a univariate response Version.

The dependent R packages are listed as below:

  • matrixStats # dependent for MixCenMVReg_EM.R & MixCenUVReg_EM.R
  • condMVNorm # dependent for MixCenMVReg_EM.R
  • MomTrunc # dependent for MixCenMVReg_EM.R
  • truncnorm # dependent for MixCenUVReg_EM.R

Please see the jupyter-notebook Example.ipynb for instructions on how to use this software.

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This project is an extension of the Gaussian Mixture Regression (GMR) model to handel censored multivariate responses.

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