Description Usage Arguments Value Author(s) References See Also Examples

Using the `fitted`

responses (probabilities) to the difference scale, new responses are generated which permit new 6-point likelihoods to be calculated. The distribution of a large number of such likelihoods can be compared with that obtained from the observed responses to evaluate the internal consistency of the estimated scale.

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`obj` |
object of class ‘mlds’ |

`nsim` |
integer indicating number of bootstrap trials. |

`nrep` |
integer indicating how many sessions with are in the data set. |

`no.warn` |
logical indicating when TRUE (default) to suppress warnings from |

LIST with 4 components

`boot.samp ` |
vector of numeric giving the log likelihood for the 6-point test for each simulation. |

`lik6pt ` |
numeric indicating the log likelihood for the 6-point test on the original data |

`p ` |
proportion of simulations on which the simulated log likelihood was higher than that obtained from the original sample. |

`N ` |
numeric indicating the number of simulations. It should be the length of |

Kenneth Knoblauch and Laurence T. Maloney

Maloney, L. T. and Yang, J. N. (2003). Maximum likelihood difference scaling. *Journal of Vision*, **3(8):5**, 573–585, http://journalofvision.org/3/8/5/, doi:10.1167/3.8.5.

Knoblauch, K. and Maloney, L. T. (2008) MLDS: Maximum likelihood difference scaling in R.
*Journal of Statistical Software*, **25:2**, 1–26, http://www.jstatsoft.org/v25/i02.

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