Variable clustering in high-dimensional linear regression: the r package clere

HIGHLIGHTS

• who: C ONTRIBUTED R ESEARCH et al. from the (UNIVERSITY) have published the paper: Variable Clustering in High-Dimensional Linear Regression: The R Package clere, in the Journal: (JOURNAL)
• what: The authors propose two new features for the CLERE model. In model , such a direct derivation leads to an algorithm where the computational complexity remains quadratic with respect to p To reduce that complexity, the authors propose a SEM algorithm based on the integrated complete data likelihood p(y, Z | X; θ) rather than p(y, β, Z | X; θ). The first set of experiments aims at comparing . . .
  

   

  

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