Description Usage Arguments Value References Examples

This uses Equations 7, 10, 12, 13, and 18 from Lipovetsky & Conklin (2014) to take vectors of total times shown to participants, total times selected as best, and total times selected as worst. It uses their closed-form solution to calculate utility coefficients—as well as their standard errors and confidence intervals—and choice probabilities.

1 |

`data` |
A data.frame where each row represents an item, and three columns represent total times shown to participants, total times selected as bests, and total time selected as worsts. |

`totals` |
A string that is the name of the column for totals in the data. |

`bests` |
A string that is the name of the column for bests in the data. |

`worsts` |
A string that is the name of the column for worsts in the data. |

`z` |
A z-value to calculate the confidence intervals. Defaults to 1.96, a 95% CI. |

A data.frame containing the utility coefficients (with standard error and confidence intervals) and choice probabilities for each item (row) in the data.

Lipovetsky, S., & Conklin, M. (2014). Best-worst scaling in analytical closed-form solution. The Journal of Choice Modelling, 10, 60-68. doi: 10.1016/j.jocm.2014.02.001

1 2 3 4 5 6 7 8 9 10 11 | ```
# Replicate Table 6 from Lipovetsky & Conklin (2014)
d <- data.frame(
totals = c(7145, 7144, 7144, 7144, 7145, 7145, 7144, 7146, 8166,
7145, 7144, 7144, 7145, 7144, 7145, 7144, 7146),
bests = c(1733, 968, 5218, 2704, 2307, 692, 1816, 689, 2483, 1422,
362, 2589, 4158, 825, 829, 859, 966),
worsts = c(1324, 2139, 113, 1010, 772, 3986, 1438, 2397, 1041, 1538,
4597, 966, 305, 2875, 2256, 2259, 1604)
)
results <- ae_mnl(d, "totals", "bests", "worsts")
(d <- cbind(d, results))
``` |

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