Description Usage Arguments Value Examples

View source: R/bootstrap_sd_sl.R

Finds bootstrap estimate of the standard deviation of the estimated slope for the local polynomial estimation of psychometric function (PF) with guessing and lapsing rates as specified

1 |

`TH` |
required threshold level |

`r` |
number of successes in points x |

`m` |
number of trials in points x |

`x` |
stimulus levels |

`N` |
number of bootstrap replications |

`h0` |
pilot bandwidth; if not specified, then the scaled plug-in bandwidth is used |

`X` |
set of value for which to calculate the estimates of PF for the thresholdestimation; if not given 1000 equally spaced points from min to max of xdes are used |

`link` |
name of the link function to be used; default is "logit" |

`guessing` |
guessing rate; default is 0 |

`lapsing` |
lapsing rate; default is 0 |

`K` |
power parameter for Weibull and reverse Weibull link; default is 2 |

`p` |
order of the polynomial; default is 1 |

`ker` |
kernel function for weights; default "dnorm" |

`maxiter` |
maximum number of iterations in Fisher scoring; default is 50 |

`tol` |
tolerance level at which to stop Fisher scoring; default is 1e-6 |

`value` |
Object with 2 components: sd: bootstrap estimate of the standard deviation of the slope estimate sl0: slope estimate |

1 2 3 | ```
data( "01_Miranda" )
bwd <- 0.2959
value <- bootstrap_sd_sl( 0.5, example01$r, example01$m, example01$x, 10, bwd )
``` |

modelfree documentation built on May 31, 2017, 4:28 a.m.

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