forcedMarriage: Forced Marriage in Nottinghamshire
In speedyBBT: Efficient Bayesian Inference for the Bradley--Terry Model
forcedMarriage R Documentation
Forced Marriage in Nottinghamshire
Description
A comparative judgment data set for risk of forced marriage at ward level in Nottinghamshire.
There are 12 judges and 76 wards.
Usage
forcedMarriage
Format
A list with three elements. The first is c dataframe containing 1846 rows and 4 columns.
Each row corresponds to a judgement made by a single judge. Columns 3 and 4 shows which of the
pair of wards was judged to have relatively higher and low forced marriage risk level, column 1
shows which judge the comparison belong to, and column 2 shows what time they made the decision.
The second is the a dataframe describing each ward and its geometry.
The final element is an adjacency matrix, where the wards are nodes and edges are placed between
adjacent wards.
@keywords datasets
@source The data was collected using support from the Engineering and Physical Sciences Research
Council (grant reference EP/R513283/1), the Economic and Social Sciences Research Council (ES/V015370/1)
and the Research England Policy Support Fund. The data was collected following ethical approval
from the University of Nottingham School of Politics and International Relations ethics committee.
speedyBBT documentation built on April 4, 2025, 2:41 a.m.
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| forcedMarriage | R Documentation |
Forced Marriage in Nottinghamshire
Description
A comparative judgment data set for risk of forced marriage at ward level in Nottinghamshire. There are 12 judges and 76 wards.
Usage
forcedMarriage
Format
A list with three elements. The first is c dataframe containing 1846 rows and 4 columns. Each row corresponds to a judgement made by a single judge. Columns 3 and 4 shows which of the pair of wards was judged to have relatively higher and low forced marriage risk level, column 1 shows which judge the comparison belong to, and column 2 shows what time they made the decision.
The second is the a dataframe describing each ward and its geometry.
The final element is an adjacency matrix, where the wards are nodes and edges are placed between adjacent wards.
@keywords datasets
@source The data was collected using support from the Engineering and Physical Sciences Research Council (grant reference EP/R513283/1), the Economic and Social Sciences Research Council (ES/V015370/1) and the Research England Policy Support Fund. The data was collected following ethical approval from the University of Nottingham School of Politics and International Relations ethics committee.
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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