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

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

Title: The Sparse Latent Position Model for Nonnegative Interaction
Description: 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>.
Imports: Rcpp (>= 0.12.10), gtools, vegan

Title: Sparse Learning Algorithms Using a LASSO-Type Penalty for
Coefficient Estimation and Model Prediction
Description: 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.
Imports: SIS, mlbench, RankAggreg, SiZer, lqa, qgraph
Packaged: 2015-11-16 15:20:33 UTC; Administrator

Description: 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.
Depends: R (>= 3.0.2), glmnet, SiZer, datasets, lqa, qgraph, SIS
Packaged: 2015-10-13 13:15:49 UTC; Administrator

Description: 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.
Packaged: 2015-10-09 23:22:55 UTC; Administrator