SimData: Generates a simulated dataset based on a true partition

In microclustr: Entity Resolution with Random Partition Priors for Microclustering

Description

Generates a simulated dataset based on a true partition

Usage

SimData(true_L, nfields, ncat, true_beta)

Arguments

true_L	Vector of size max cluster size with number of clusters of each size
nfields	Number of fields
ncat	Vector with number of categories per field
true_beta	Distortion probability for the fields

Value

Simulated data set

Examples

truePartition <- c(2,2,2,2)
numberFields <- 2
numberCategories <- rep(5,2)
trueBeta <- 0.01
SimData(truePartition, numberFields, numberCategories, trueBeta)

microclustr documentation built on Jan. 13, 2021, 8:58 p.m.