print.cv.savvyPR: Print a Cross-Validated Parity Regression Model Object

In savvyPR: Savvy Parity Regression Model Estimation with 'savvyPR'

Print a Cross-Validated Parity Regression Model Object

Description

Prints a summarized output of a fitted cross-validated parity regression model object. It clearly displays the optimal tuning parameters and the resulting estimated coefficients.

Usage

## S3 method for class 'cv.savvyPR'
print(x, digits = max(3, getOption("digits") - 3), ...)

Arguments

x	A fitted model object of class "cv.savvyPR" returned by cv.savvyPR.
digits	Significant digits to be used in the printout.
...	Additional arguments passed to the generic print function.

Details

Print a Cross-Validated Parity Regression Model Object

This function is an S3 method for the generic print function. It formats and prints the matched call that produced the cv.savvyPR object, followed by a summary data frame. This summary includes:

• The parameterization method used ("budget" or "target").

• The number of non-zero coefficients.

• Whether an intercept was included.

• The optimal tuning value (val) and/or lambda parameter, depending on the model_type (PR1, PR2, or PR3).

Finally, it prints a data frame of the optimally tuned estimated coefficients.

Value

Invisibly returns a data frame summarizing the cross-validation results, including the parameterization method, number of non-zero coefficients, and optimal tuning parameters.

Author(s)

Ziwei Chen, Vali Asimit and Pietro Millossovich
Maintainer: Ziwei Chen <[e-mail]>

See Also

cv.savvyPR

Examples

# Generate synthetic data
set.seed(123)
n <- 100
p <- 10
x <- matrix(rnorm(n * p), n, p)
beta <- matrix(rnorm(p), p, 1)
y <- x %*% beta + rnorm(n, sd = 0.5)

# Fit and print a cross-validated budget-based parity regression model
cv_fit_budget <- cv.savvyPR(x, y, method = "budget", model_type = "PR3")
print(cv_fit_budget)

# Fit and print a cross-validated target-based parity regression model
cv_fit_target <- cv.savvyPR(x, y, method = "target", model_type = "PR1")
print(cv_fit_target)

savvyPR documentation built on April 7, 2026, 5:08 p.m.