FlexRL (version 0.1.0)

loglik: loglik

Description

Log(likelihood) of the linkage matrix.

Usage

loglik(LLL, LLA, LLB, links, sumRowD, sumColD, gamma)

Value

The Log(likelihood) of the linkage matrix.

Arguments

LLL

A (sparse) matrix with contributions to the complete likelihood of the linked records.

LLA

A vector with contributions to the complete likelihood of the non linked records from A.

LLB

A vector with contributions to the complete likelihood of the non linked records from B.

links

A matrix of 2 columns with indices of the linked records.

sumRowD

A boolean vector indicating, for each row of the linkage matrix, i.e. for each record in the smallest file A, whether the record has a link in B or not.

sumColD

A boolean vector indicating, for each column of the linkage matrix, i.e. for each record in the largest file B, whether the record has a link in A or not.

gamma

The proportion of linked records as a fraction of the smallest file.

Examples

LLL = Matrix::Matrix(0, nrow=13, ncol=15, sparse=TRUE)
LLA = c(0.001,0.001,0.001,0.001,1.43,0.02,0.007,0.001,2.1,0.0003,1.67,1.5,10)
LLB = c(0.001,0.001,0.001,0.001,1.22,0.008,0.01,0.04,3.9,0.0002,1.99,0,2.4,0.009,12)
linksR = as.matrix(base::data.frame(list(idxA=c(5,9,11,12,13), idxB=c(5,9,11,13,15))))
LLL[linksR] = 0.67
sumRowD = c(0,0,0,0,1,0,0,0,1,0,1,1,1)
sumColD = c(0,0,0,0,1,0,0,0,1,0,1,0,1,0,1)
gamma = 0.5
LL0 = loglik(LLL=LLL, LLA=LLA, LLB=LLB, links=linksR, sumRowD=sumRowD, sumColD=sumColD,
             gamma=gamma)