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

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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