View source: R/print.savvyPR.R
| print.savvyPR | R Documentation |
Prints a summarized output of a fitted parity regression model object. It clearly displays the model's configuration and the resulting estimated coefficients.
## S3 method for class 'savvyPR'
print(x, digits = max(3, getOption("digits") - 3), ...)
x |
A fitted model object of class |
digits |
Significant digits to be used in the printout. |
... |
Additional arguments passed to the generic |
Print a 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 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 penalty value (lambda), if any was applied.
Finally, it prints a data frame of the estimated coefficients.
Invisibly returns a data frame summarizing the model, including the parameterization method, number of non-zero coefficients, intercept status, and lambda value.
Ziwei Chen, Vali Asimit and Pietro Millossovich
Maintainer: Ziwei Chen <ziwei.chen.3@citystgeorges.ac.uk>
savvyPR
# 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 Budget-based model
fit_budget <- savvyPR(x, y, method = "budget", val = 0.05)
print(fit_budget)
# Fit and print a Target-based model
fit_target <- savvyPR(x, y, method = "target", val = 1)
print(fit_target)
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