InformationCriteria: Class InformationCriteria

In quadrupen: Sparse and Group Sparse Linear Models

Class InformationCriteria

Description

Class of object returned by the QuadrupenFit$criteria() method or the criteria() function. Owns print() and plot() methods.

Active bindings

data

a data frame containing the values of various information criteria (AIC, BIC, lmBIC, eBIC, GCV) along the value of lambda1.

lambda

vector of \lambda_1 (\ell_1 or \ell_\infty penalty levels) for which each cross-validation has been performed.

names

a vector of characters storing the names of the precomputed criteria

Methods

Public methods

• InformationCriteria$new()

• InformationCriteria$show()

• InformationCriteria$print()

• InformationCriteria$plot()

• InformationCriteria$clone()

---

InformationCriteria$new()

Constructor for a InformationCriteria object Should be called internally by an object QuadrupenFit$criteria()

Usage

InformationCriteria$new(value)

Arguments

value

data frame storing output of QuadrupenFit$criteria()

---

InformationCriteria$show()

User friendly print method

Usage

InformationCriteria$show()

---

InformationCriteria$print()

User friendly print method

Usage

InformationCriteria$print()

---

InformationCriteria$plot()

Plot the the desired criteria

Usage

InformationCriteria$plot(
  criteria = self$names,
  log_scale = TRUE,
  xvar = c("lambda", "fraction", "df"),
  title = "Information Criteria"
)

Arguments

criteria

a vector of character with the criteria to plot. The default plot all the criteria available (stored in the field names)

log_scale

logical; indicates if a log-scale should be used when xvar="lambda". Default is TRUE.

xvar

variable to plot on the X-axis: either "df" (the estimated degrees of freedom), "lambda" (\lambda_1 penalty level) or "fraction" (\ell_1-norm of the coefficients). Default is set to "lambda".

title

graph title

Returns

a ggplot2 object

---

InformationCriteria$clone()

The objects of this class are cloneable with this method.

Usage

InformationCriteria$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

quadrupen documentation built on Sept. 18, 2026, 1:06 a.m.