Software

Software

1. fad: R-package for factor analysis of data. 
   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.

   1. github: fad
   2. CRAN: fad

    

2. pPCA: R-package for partial principal component analysis of a large sparse matrix. 
   1. CRAN: pPCA
       
3. High-dimensional regression related:
   1. bravo: R-package for Bayesian screening and variable selection. 
      1. github: bravo
      2. CRAN: bravo
   2. rpc: R-package for variable screening using ridge partial correlations. 
      1. CRAN: rpc
          
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 (Python) [github]
   • Penalized likelihood-based approach:
     • symr (C/C++ Engine) [github]
     • symR (R-package) [github]
     • Python [github]