Description Usage Arguments Details Value Author(s) References Examples

Computation of tau and dprime and their uncertainties for the same different test using maximum likelihood.

1 |

`nsamesame` |
The number of same-answers on same-samples |

`ndiffsame` |
The number of different-answers on same-samples |

`nsamediff` |
The number of same-answers on different-samples |

`ndiffdiff` |
The number of different-answers on different-samples |

`VCOV` |
Should the variance-covariance matrix of the parameters be
computed. Defaults to |

The function computes the maximum likelihood estimates of
`tau`

and `delta`

.

An object of class `samediff`

with elements

`coef` |
named vector of coefficients (d-prime and tau) |

`vcov` |
variance-covariance matrix of the coefficients |

`se` |
named vector with standard error of the coefficients (standard error of d-prime) |

`data` |
a named vector with the data supplied to the function |

`test` |
a string with the name of the test ( |

`call` |
the matched call |

`convergence` |
convergence indicater. 0 indicates convergence. For error
codes see |

`logLik` |
Value of the log-likelhood at the MLE of the parameters. |

`case` |
A case indicator for internal use |

Rune Haubo B Christensen

Christensen, R.H.B., Brockhoff, P.B. (2009). Estimation and inference in the same-different test. Food, Quality and Preference, 20 pp. 514–520

1 2 3 4 5 6 | ```
# data: 8 of the same samples were judged to be same
# 5 of the same samples were judged to be different
# 4 of the different samples were judged to be same
# 9 of the different samples were judged to be different
samediff(8, 5, 4, 9)
``` |

```
Call:
samediff(nsamesame = 8, ndiffsame = 5, nsamediff = 4, ndiffdiff = 9)
Coefficients:
tau delta
1.230 1.885
```

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