Description Usage Arguments Value Author(s) Examples

matchesLink produces two dataframes that store all the pairs that share a pattern that conforms to the an interval of the Fellegi-Sunter weights

1 | ```
matchesLink(gammalist, nobs.a, nobs.b, em, thresh, n.cores = NULL)
``` |

`gammalist` |
A list of objects produced by either gammaKpar or gammaCKpar. |

`nobs.a` |
number of observations in dataset 1 |

`nobs.b` |
number of observations in dataset 2 |

`em` |
parameters obtained from the Expectation-Maximization algorithm under the MAR assumption. These estimates are produced by emlinkMARmov |

`thresh` |
is the interval of posterior zeta values for the agreements that we want to examine closer. Ranges between 0 and 1. Can be a vector of length 1 (from specified value to 1) or 2 (from first specified value to second specified value). |

`n.cores` |
Number of cores to parallelize over. Default is NULL. |

`matchesLink`

returns an nmatches X 2 matrix with the indices of the
matches rows in dataset A and dataset B.

Ted Enamorado <[email protected]>, Ben Fifield <[email protected]>, and Kosuke Imai

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ```
## Not run:
## Calculate gammas
g1 <- gammaCKpar(dfA$firstname, dfB$firstname)
g2 <- gammaCKpar(dfA$middlename, dfB$middlename)
g3 <- gammaCKpar(dfA$lastname, dfB$lastname)
g4 <- gammaKpar(dfA$birthyear, dfB$birthyear)
## Run tableCounts
tc <- tableCounts(list(g1, g2, g3, g4), nobs.a = nrow(dfA), nobs.b = nrow(dfB))
## Run EM
em <- emlinkMAR(tc)
## Get matches
ml <- matchesLink(list(g1, g2, g3, g4), nobs.a = nrow(dfA), nobs.b = nrow(dfB),
em = em, thresh = .95)
## End(Not run)
``` |

fastLink documentation built on Nov. 12, 2018, 5:05 p.m.

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