cli, ellipsis, generics (>= 0.1.2), glue, gower, hardhat (>=
1.2.0), ipred (>= 0.9-12), lifecycle, lubridate (>= 1.8.0),
magrittr, Matrix, purrr (>= 0.2.3), rlang (>= 1.0.3), stats,
tibble, tidyr (>= 1.0.0), tidyselect (>= 1.1.2), timeDate,
utils, vctrs, withr
covr, ddalpha, dials (>= 1.0.0), ggplot2, igraph, kernlab,
knitr, modeldata (>= 0.1.1), parsnip (>= 0.1.7), RANN,
RcppRoll, rmarkdown, rpart, rsample, RSpectra, testthat (>=
3.0.0), workflows, xml2

cli, ellipsis, generics (>= 0.1.2), glue, gower, hardhat (>=
1.2.0), ipred (>= 0.9-12), lifecycle (>= 1.0.3), lubridate (>=
1.8.0), magrittr, Matrix, purrr (>= 0.2.3), rlang (>= 1.0.3),
stats, tibble, tidyr (>= 1.0.0), tidyselect (>= 1.2.0),
timeDate, utils, vctrs, withr
covr, ddalpha, dials (>= 1.0.0), ggplot2, igraph, kernlab,
knitr, modeldata (>= 0.1.1), parsnip (>= 0.1.7), RANN,
RcppRoll, rmarkdown, rpart, rsample, RSpectra, splines2,
testthat (>= 3.0.0), workflows, xml2

cli, clock (>= 0.6.1), ellipsis, generics (>= 0.1.2), glue,
gower, hardhat (>= 1.2.0), ipred (>= 0.9-12), lifecycle (>=
1.0.3), lubridate (>= 1.8.0), magrittr, Matrix, purrr (>=
0.2.3), rlang (>= 1.0.3), stats, tibble, tidyr (>= 1.0.0),
tidyselect (>= 1.2.0), timeDate, utils, vctrs (>= 0.5.0), withr

Functions to assist in performing probabilistic record linkage and
deduplication: generating pairs, comparing records, em-algorithm for
estimating m- and u-probabilities, forcing one-to-one matching. Can also be
used for pre- and post-processing for machine learning methods for record
linkage.
dplyr, stringdist, utils, methods, lpSolve, Rcpp

person(given = "Jan",
family = "van der Laan",
role = c("aut", "cre"),
email = "r@eoos.dds.nl",
comment = c(ORCID = "0000-0002-0693-1514"))
Functions to assist in performing probabilistic record linkage and
deduplication: generating pairs, comparing records, em-algorithm for
estimating m- and u-probabilities
(I. Fellegi & A. Sunter (1969) <doi:10.1080/01621459.1969.10501049>,
T.N. Herzog, F.J. Scheuren, & W.E. Winkler (2007),
"Data Quality and Record Linkage Techniques", ISBN:978-0-387-69502-0),
forcing one-to-one matching. Can also be
used for pre- and post-processing for machine learning methods for record
linkage. Focus is on memory, CPU performance and flexibility.
stringdist, stats, utils, lpSolve, Rcpp, parallel
Jan van der Laan [aut, cre] (<https://orcid.org/0000-0002-0693-1514>)