Research Software
Links to most recent software packages accompanying publications can be found at
Mazumder-Lab Github
Links to software accompanying (recent) papers are also provided in the papers.
A sample of software packages can be found below
Selected Software packages written in R (CRAN)
- L0Learn (Fast Approximate Algorithms for regularized subset selection: regression & classification)
--Also on GitHub
- FACTMLE (Algorithm for Maximum Likelihood Low-rank Factor Analysis)
- softImpute (Algorithms for Matrix Completion)
- sparsenet (Algorithms for nonconvex penalized regression)
- dpglasso (Primal algorithm for graphical lasso)
Selected Software packages written in Python (PyPi)
- L0BnB (Exact Algorithms for regularized subset selection via branch-and-bound & first-order methods)
--Also on GitHub
- hierScale (Sparse Hierarchical Interactions with convex optimization)
--Also on GitHub
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