simula {DBfit} | R Documentation |

## Work Horse Function to implement the Double Bootstrap method

### Description

`simula`

is the original work horse function to implement the DB method. However, when this function returns an estimate of rho to be .99, another work horse function `simulacorrection`

kicks in.

### Usage

```
simula(x, y, arp, nbs, nbscov, conf, method, scores)
```

### Arguments

`x` |
the design matrix, including intercept, i.e. the first column being ones. |

`y` |
the response variable. |

`arp` |
the order of autoregressive errors. |

`nbs` |
the bootstrap size for the first bootstrap procedure. Default is 500. |

`nbscov` |
the bootstrap size for the second bootstrap procedure. Default is 500. |

`conf` |
the confidence level of CI for rho, default is 0.95. |

`method` |
the method to be used for fitting. If "OLS", uses the ordinary least square |

`scores` |
Default is Wilcoxon scores |

### Details

see `dbfit`

.

### Note

Users should use `dbfit`

to perform the analysis.

### References

McKnight, S. D., McKean, J. W., and Huitema, B. E. (2000). A double bootstrap method to analyze linear models with autoregressive error terms. Psychological methods, 5 (1), 87. Shaofeng Zhang (2017). Ph.D. Dissertation.

### See Also

*DBfit*version 2.0 Index]