EEL {eel} | R Documentation |

Calculate the extended empirical log likelihood ratio for a multi-dimensional mean

```
EEL(x, theta)
## Default S3 method:
EEL(x,theta)
```

`x` |
Data matrix. |

`theta` |
The value at which the extended empirical likelihood is to be evaluated. |

An object of class `EEL`

, basically a list including elements

`theta` |
the value at which the extended empirical likelihood is to be evaluated; |

`prime` |
the prime-image inside the convex hull for the point theta; |

`estimating equation` |
the estimating equation here is "x-theta"; |

`expansion` |
the value of the expansion factor gamma; |

`oel_log` |
the original empirical log likelihood ratio value; |

`eel_log` |
the extended empirical log likelihood ratio value. |

Yu Zhang & Fan Wu

`EMLogLR`

, `exp_factor`

, `prime_image`

, `print.EEL`

, `summary.EEL`

, `EEL_est`

```
# EXAMPLE: computing the EEL for the mean of a bivariate random variable
# Generating a sample of n=40 bivariate observations.
# For this example, we do this through a univariate normal random number generator.
uninorm<- rnorm(40*2,5,1)
multnorm<-matrix(uninorm,ncol=2)
# To calculate the EEL for a point theta=c(5,3), use
EEL(x=multnorm,theta=c(5,3))
```

[Package *eel* version 1.1 Index]