bayesPairs: Extracts the crimes with the largest probability of being...
In crimelinkage: Statistical Methods for Crime Series Linkage

Description Usage Arguments Details Value See Also

Extracts the crimes (from crimeClust_bayes) with the largest probability of being linked.

1
2
3

bayesPairs(p.equal, drop = 0)

bayesProb(prob, drop = 0)

`p.equal`	the posterior probability matrix produced by `crimeClust_bayes`
`drop`	only return crimes with a posterior linkage probability that exceeds drop. Set to NA to return all results.
`prob`	a column (or row) of the posterior probability matrix produced by `crimeClust_bayes`

This is a helper function to easily extract the crimes with a high probability of being linked from the output of crimeClust_bayes. bayesPairs searches the full posterior probability matrix and bayesProb only searches a particular column (or row).

data.frame of the indices of crimes with estimated posterior probabilities, ordered from largest to smallest

crimeClust_bayes

crimelinkage documentation built on May 2, 2019, 1:36 a.m.