bernoulli_data: Simulated intransitive pairwise preferences
In BayesMallows: Bayesian Preference Learning with the Mallows Rank Model
bernoulli_data R Documentation
Simulated intransitive pairwise preferences
Description
Simulated dataset based on the potato_visual data. Based on
the rankings in potato_visual, all n-choose-2 = 190 pairs of items were
sampled from each assessor. With probability .9, the pairwise
preference was in agreement with potato_visual, and with probability .1,
they were in disagreement. Hence, the data generating mechanism was a
Bernoulli error model \insertCitecrispino2019BayesMallows with
\theta=0.1.
Usage
bernoulli_data
Format
An object of class data.frame with 2280 rows and 3 columns.
See Also
Other datasets:
beach_preferences,
cluster_data,
potato_true_ranking,
potato_visual,
potato_weighing,
sushi_rankings
BayesMallows documentation built on April 3, 2025, 9:38 p.m.
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| bernoulli_data | R Documentation |
Simulated intransitive pairwise preferences
Description
Simulated dataset based on the potato_visual data. Based on
the rankings in potato_visual, all n-choose-2 = 190 pairs of items were
sampled from each assessor. With probability .9, the pairwise
preference was in agreement with potato_visual, and with probability .1,
they were in disagreement. Hence, the data generating mechanism was a
Bernoulli error model \insertCitecrispino2019BayesMallows with
\theta=0.1.
Usage
bernoulli_data
Format
An object of class data.frame with 2280 rows and 3 columns.
See Also
Other datasets:
beach_preferences,
cluster_data,
potato_true_ranking,
potato_visual,
potato_weighing,
sushi_rankings
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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