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ncvreg (version 3.8-0)

summary.cv.ncvreg: Summarizing inferences based on cross-validation

Description

Summary method for cv.ncvreg objects

Usage

"summary"(object, ...) "print"(x, digits, ...)

Arguments

object
A "cv.ncvreg" object.
x
A "summary.cv.ncvreg" object.
digits
Number of digits past the decimal point to print out. Can be a vector specifying different display digits for each of the five non-integer printed values.
...
Further arguments passed to or from other methods.

Value

summary.cv.ncvreg produces an object with S3 class "summary.cv.ncvreg". The class has its own print method and contains the following list elements:

References

Breheny, P. and Huang, J. (2011) Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection. Ann. Appl. Statist., 5: 232-253.

See Also

ncvreg, cv.ncvreg, plot.cv.ncvreg

Examples

Run this code
## Linear regression
data(prostate)
X <- as.matrix(prostate[,1:8])
y <- prostate$lpsa
cvfit <- cv.ncvreg(X, y)
summary(cvfit)

## Logistic regression
data(heart)
X <- as.matrix(heart[,1:9])
y <- heart$chd
cvfit <- cv.ncvreg(X, y, family="binomial")
summary(cvfit)

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