loglikC_bin: C++ implementation of the pseudo-likelihood computation
In borishejblum/ludic: Linkage Using Diagnosis Codes

loglikC_bin implements an even faster C++ implementation of the pseudo-likelihood computation for binary variables

loglikC_bin_wDates implements a C++ implementation of the pseudo-likelihood computation for binary variables with dates

loglikC_bin(Bmat, Amat, eps_p, eps_n, piA, piB)

loglikC_bin_wDates(Bmat, Amat, Bdates, Adates, eps_p, eps_n, piA, piB)

loglikratioC_diff_arbitrary(Bmat, Amat, d_max, cost)

`Bmat`	`K x nB` matrix of the observations to be matched.
`Amat`	`nA x K` matrix the database into which a match is looked for.
`eps_p`	a vector of length `K` giving the prior discrepancy rate expected from A to B for the positives, for each variable.
`eps_n`	a vector of length `K` giving the prior discrepancy rate expected from A to B for the negatives, for each variable.
`piA`	a vector of length `K` giving the prior probabilities of observing each variable in A.
`piB`	a vector of length `K` giving the prior probabilities of observing each variable in B.
`Bdates`	`nB x K` matrix of the dates for each observations to be matched.
`Adates`	`nA x K` matrix of the dates for database into which a match is looked for.
`d_max`	a numeric vector of length `K` giving the minimum difference from which it is considered a discrepancy.
`cost`	a numeric vector of length `K` giving the arbitrary cost of discrepancy.