R: Optimal Subset Cardinality Regression (OSCAR) Models Using the L0-Pseudonorm

# Optimal Subset Cardinality Regression (OSCAR) Models Using the L0-Pseudonorm

## Documentation for package ‘oscar’ version 1.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

oscar-package | oscar: Optimal Subset Cardinality Regression
coef-method | Extract coefficients of oscar-objects
cost | Return total cost of model fit based on provided kit/variable costs vector
cost,oscar-methods | Return total cost of model fit based on provided kit/variable costs vector
cost-method | Return total cost of model fit based on provided kit/variable costs vector
ex_c | Example data from TYKS / HUSLAB
ex_K | Example data from TYKS / HUSLAB
ex_X | Example data from TYKS / HUSLAB
ex_Y | Example data from TYKS / HUSLAB
feat | Return named vector of feature indices with a given k that are non-zero
feat,oscar-methods | Return named vector of feature indices with a given k that are non-zero
feat-method | Return named vector of feature indices with a given k that are non-zero
kits | Return named vector of indices for kits with a given k that are non-zero
kits,oscar-methods | Return named vector of indices for kits with a given k that are non-zero
kits-method | Return named vector of indices for kits with a given k that are non-zero
oscar | Main OSCAR fitting function
oscar-class | S4-class for oscar
oscar.binarize | Binary logical indicator matrix representation of an oscar object's coefficients (zero vs. non-zero, i.e. feature inclusion)
oscar.binplot | Visualize binary indicator matrix optionally coupled with cross-validation performance for oscar models
oscar.bs | Bootstrapping for oscar-fitted model objects
oscar.bs.boxplot | Bootstrap visualization with boxplot, percentage of new additions
oscar.bs.k | Reformatting bootstrap output for cardinality k rows
oscar.bs.plot | Bootstrap heatmap plot for oscar models
oscar.bs.visu | Visualize bootstrapping of a fit oscar object
oscar.control | Control OSCAR optimizer parameters
oscar.cost.after | Return total cost of model fits if the cost is not included in the oscar object
oscar.cv | Cross-validation for oscar-fitted model objects over k-range
oscar.cv.visu | Visualize cross-validation as a function of k
oscar.pareto | Retrieve a set of pareto-optimal points for an oscar-model based on model goodness-of-fit or cross-validation
oscar.pareto.visu | Visualize oscar model pareto front
oscar.sparsify | Create a sparse matrix representation of betas as a function of k
oscar.visu | Target function value and total kit cost as a function of number of kits included
plot-method | Extract coefficients of oscar-objects
predict-method | Extract coefficients of oscar-objects
show-method | Showing oscar-objects