# Summarizing inferences based on cross-validation

### Description

Summary method for `cv.grpregOverlap`

objects

### Usage

1 2 3 4 5 |

### Arguments

`object` |
A |

`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. |

`...` |
Further arguments passed to or from other methods. |

### Value

`summary.cv.grpregOverlap`

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

which inherits class `"summary.cv.grpreg"`

. The object 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). |

`p.latent` |
Number of latent 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

Maintainer: Yaohui Zeng <yaohui-zeng@uiowa.edu>

### References

Breheny P (2014). R package 'grpreg'. https://CRAN.R-project.org/package=grpreg/grpreg.pdf

### See Also

`grpregOverlap`

, `cv.grpregOverlap`

### Examples

1 | ```
## See examples in "grpregOverlap" and "cv.grpregOverlap".
``` |