# Compute the prediction accuracy from Cross Validition

### Description

Takes a matrix of predictions returned by `get_pred`

, a
list of masked phenotypes returned by `cCV`

and the original
phenotype vector and returns the correlation between predicted and observed
values

### Usage

1 | ```
get_cor(predictions,cv_pheno,y)
``` |

### Arguments

`predictions` |
Prediction matrix returned by |

`cv_pheno` |
List of masked phenotypes returned by |

`y` |
Original unmasked phenotype vector that has been used in |

### Value

Numeric scalar - Mean prediction accuracy measured as correlation between predicted and observed phenotypes

### Examples

1 | ```
# see example of clmm.CV
``` |