summary.cv.biglasso {biglasso} | R Documentation |

## Summarizing inferences based on cross-validation

### Description

Summary method for `cv.biglasso`

objects.

### Usage

```
## S3 method for class 'cv.biglasso'
summary(object, ...)
## S3 method for class 'summary.cv.biglasso'
print(x, digits, ...)
```

### Arguments

`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. |

### Value

`summary.cv.biglasso`

produces an object with S3 class
`"summary.cv.biglasso"`

. 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). |

### Author(s)

Yaohui Zeng and Patrick Breheny

### See Also

`biglasso()`

, `cv.biglasso()`

, `plot.cv.biglasso()`

, biglasso-package

### Examples

```
## See examples in "cv.biglasso" and "biglasso-package"
```

*biglasso*version 1.6.0 Index]