Software

Software

1. fad: R-package for factor analysis of data. github, CRAN
   This package implements the matrix-free maximum likelihood methods for factor analysis of high-dimensional data. Of course, it also works for low-dimensional data.

    

2. pPCA: R-package for partial principal component analysis of a large sparse matrix. CRAN
    
3. High-dimensional regression related:
   1. bravo: R-package for Bayesian screening and variable selection. github, CRAN
   2. rpc: R-package for variable screening using ridge partial correlations. CRAN
       
4. Software for the Synthetic Magnetic Resonance (MR) technique, which predicts images at new design parameters from a few observed MR scans:
   • Deep learning approach: GitHub (Python)
   • Penalized likelihood-based approach:
     • symr (C/C++ Engine): github
     • symR (R-package): github, CRAN
     • Python: github