SparseGrid is a package to create sparse grids for
numerical integration, based on code from www.sparse-grids.de

The Sparse Latent Position Model for Nonnegative Interaction
Data
Models the nonnegative entries of a rectangular adjacency matrix using a sparse latent position model, as illustrated in Rastelli, R. (2018) "The Sparse Latent Position Model for nonnegative weighted networks" <arXiv:1808.09262>.

Sparse Learning Algorithms Using a LASSO-Type Penalty for
Coefficient Estimation and Model Prediction
Coefficient estimation and model prediction based on the LASSO sparse
learning algorithm and its improved versions such as Bolasso, bootstrap ranking
LASSO, two-stage hybrid LASSO and others. These LASSO estimation procedures are
applied in the fields of variable selection, graphical modeling and ensemble
learning. The bagging LASSO model uses a Monte Carlo cross-entropy algorithm to
determine the best base-level models and improve predictive performance.
SIS, mlbench, RankAggreg, SiZer, lqa, qgraph

Coefficient estimation and model prediction based on
the LASSO sparse learning algorithm and its improved versions
such as Bolasso, bootstrap ranking LASSO, two-stage hybrid LASSO
and others. These estimation procedures are applied in the fields
of variable selection, graphical modeling and forecasting.
R (>= 3.0.2), glmnet, SiZer, datasets, lqa, qgraph, SIS

Performs the LASSO-type sparse learning algorithm and its improved versions such as Bolasso, bootstrap
ranking LASSO, two-stage hybrid LASSO and so on for coefficient estimation and model prediction. These estimation
procedures are applied in the fields of variable selection, graphical modeling and model prediction.

Michael T. Mader  <mtmader@gmx.de>, with C code from S. K. Shevade and S. S. Keerthi
Some functions wrapping the sparse logistic regression code by S. K. Shevade and S. S. Keerthi originally intended for microarray-based gene selection
R code under GPL version 2, source code in C is property of S. K. Shevade and S. S. Keerthi and only free for non-commercial use