Summarizing inferences based on cross-validation
Summary method for cv.biglasso objects.
## S3 method for class 'cv.biglasso' summary(object, ...) ## S3 method for class 'summary.cv.biglasso' print(x, digits, ...)
object |
A |
... |
Further arguments passed to or from other methods. |
x |
A |
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. |
summary.cv.biglasso produces an object with S3 class
"summary.cv.biglasso" which inherits class
"summary.cv.ncvreg". The class has its own print method and contains
the following list elements:
penalty |
The penalty used by
|
model |
Either |
n |
Number of observations |
p |
Number of regression coefficients (not including the intercept). |
min |
The index of |
lambda |
The sequence of |
cve |
Cross-validation error (deviance). |
r.squared |
Proportion of variance explained by the model, as estimated by cross-validation. |
snr |
Signal to noise ratio, as estimated by cross-validation. |
sigma |
For linear regression models, the scale parameter estimate. |
pe |
For logistic regression models, the prediction error (misclassification error). |
Yaohui Zeng and Patrick Breheny
Maintainer: Yaohui Zeng <yaohui.zeng@gmail.com>
## See examples in "cv.biglasso" and "biglasso-package"
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