R: Sparse and Group Sparse Linear Models

# Sparse and Group Sparse Linear Models

## Documentation for package ‘quadrupen’ version 1.0-0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Code demos. Use demo() to run them.
- Package NEWS
- Package README

## Help Pages

bounded.reg | Fit a linear model with infinity-norm plus ridge-like regularization
BoundedRegressionFit | Class "BoundedRegression"
bounded_reg | Fit a linear model with infinity-norm plus ridge-like regularization
coef.QuadrupenFit | Extract model coefficients
coop_lasso | Fit a linear model with (sparse) group regularisation
criteria | Penalized criteria based on estimation of degrees of freedom
criteria.QuadrupenFit | Penalized criteria based on estimation of degrees of freedom
CrossValidation | Class CrossValidation
cross_validate | Cross-validation for Quadrupen object
cross_validate.QuadrupenFit | Cross-validation for Quadrupen object
DataModel | Data Class
deviance.QuadrupenFit | Extract model deviance
elastic.net | Fit a linear model with sparse regularization
elastic_net | Fit a linear model with sparse regularization
fitted.QuadrupenFit | Extracts model fitted values
FusedLassoFit | Class "FusedLassoFit"
fused_lasso | A function for fitting generalized fused-Lasso problems
GroupLavaFit | Class "GroupLavaFit"
group_l1linf | Fit a linear model with (sparse) group regularisation
group_lasso | Fit a linear model with (sparse) group regularisation
group_lava | Fit a linear model with group-lava regularization
group_sparse_lm | Fit a linear model with (sparse) group regularisation
InformationCriteria | Class InformationCriteria
isQuadrupenFit | Auxiliary functions to check the given class of an object
lasso | Fit a linear model with sparse regularization
lava | Fit a linear model with lava regularization
LavaFit | Class "LavaFit"
mcp | Fit a linear model with sparse regularization
plot.CrossValidation | Plot method for quadrupen objects
plot.QuadrupenFit | Plot method for quadrupen objects
plot.StabilityPath | Plot method for quadrupen objects
predict.QuadrupenFit | Perform model prediction
QuadrupenFit | Class "QuadrupenFit"
residuals.QuadrupenFit | Extract model residuals
ridge | Fit a linear model with a structured ridge regularization
RidgeRegressionFit | Class "RidgeRegressionFit"
scad | Fit a linear model with sparse regularization
selection | Variable selection from a stability path
selection.StabilityPath | Variable selection from a stability path
SparseFit | Class "SparseFit"
SparseGroupFit | Class "SparseGroupFit"
sparse_coop_lasso | Fit a linear model with (sparse) group regularisation
sparse_group_l1linf | Fit a linear model with (sparse) group regularisation
sparse_group_lasso | Fit a linear model with (sparse) group regularisation
sparse_lm | Fit a linear model with sparse regularization
stability | Stability selection for Quadrupen object
stability.QuadrupenFit | Stability selection for Quadrupen object
StabilityPath | Class StabilityPath