# Compute a bootstrap, .95 confidence interval for any measure of location

### Description

Compute a bootstrap, .95 confidence interval for the measure of location corresponding to the argument est. By default, a one-step M-estimator of location based on Huber's Psi is used. The default number of bootstrap samples is nboot=2000

### Usage

1 |

### Arguments

`x` |
A vector |

`est` |
A function that directly returns a measure of location; default = one-step M-estimator of location based on Huber's Psi |

`alpha` |
Alpha value of the CI |

`nboot` |
Number of bootstrap samples |

`SEED` |
Set seed of random number generator so that results can be replicated |

`nv` |
null value when computing a p-value |

`...` |
Additional arguments for the estimator functio. |

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker. Vote for new features on Trello.