# Repeated Measures Concordance Correlation Coefficient estimated by U-statistics

### Description

Estimation of the concordance correlation coefficient for repeated measurements using the U-statistics approach. The function is also applicable for the non-repeated measurements scenario.

### Usage

1 |

### Arguments

`dataset` |
An object of class |

`ry` |
Character string. Name of the outcome in the data set. |

`rmet` |
Character string. Name of the method variable in the data set. |

`rtime` |
Character string. Name of the time variable in the data set. |

`Dmat` |
Matrix of weights. |

`delta` |
Power of the differences. A value of 0 provides an estimate that is comparable to a repeated measures version of kappa index. |

`cl` |
Confidence level. |

### Value

A vector that includes the point estimate, confidence interval and standard error of the CCC. Additionally the Fisher's Z-transformation value and its standard error are also provided.

### Author(s)

Josep Puig-Martinez and Josep L. Carrasco

### References

King, TS and Chinchilli, VM. (2001). A generalized concordance correlation coefficient for continuous and categorical data. Statistics in Medicine, 20, 2131:2147.

King, TS; Chinchilli, VM; Carrasco, JL. (2007). A repeated measures concordance correlation coefficient. Statistics in Medicine, 26, 3095:3113.

Carrasco, JL; Phillips, BR; Puig-Martinez, J; King, TS; Chinchilli, VM. (2013). Estimation of the concordance correlation coefficient for repeated measures using SAS and R. Computer Methods and Programs in Biomedicine, 109, 293-304.

### Examples

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