c(
person("Daniel", "Ho", email = "daniel.e.ho@gmail.com", role = c("aut"),
comment = c(ORCID = "0000-0002-2195-5469")),
person("Kosuke", "Imai", email = "imai@harvard.edu", role = c("aut"),
comment = c(ORCID = "0000-0002-2748-1022")),
person("Gary", "King", email = "king@harvard.edu", role = c("aut"),
comment = c(ORCID = "0000-0002-5327-7631")),
person("Elizabeth", "Stuart", email = "estuart@jhu.edu", role = c("aut"),
comment = c(ORCID = "0000-0002-9042-8611")),
person("Alex", "Whitworth", email = "whitworth.alex@gmail.com", role = c("ctb")),
person("Noah", "Greifer", role = c("ctb", "cre"),
email = "noah.greifer@gmail.com",
comment = c(ORCID="0000-0003-3067-7154"))
)
optmatch, Matching, rgenoud, nnet, rpart, mgcv, CBPS, dbarts,
randomForest, cobalt (>= 4.2.3), boot, lmtest, sandwich (>=
2.5-1), survival, RcppProgress (>= 0.4.2), knitr, rmarkdown

c(
person("Daniel", "Ho", email = "daniel.e.ho@gmail.com", role = c("aut"),
comment = c(ORCID = "0000-0002-2195-5469")),
person("Kosuke", "Imai", email = "imai@harvard.edu", role = c("aut"),
comment = c(ORCID = "0000-0002-2748-1022")),
person("Gary", "King", email = "king@harvard.edu", role = c("aut"),
comment = c(ORCID = "0000-0002-5327-7631")),
person("Elizabeth", "Stuart", email = "estuart@jhu.edu", role = c("aut"),
comment = c(ORCID = "0000-0002-9042-8611")),
person("Alex", "Whitworth", email = "whitworth.alex@gmail.com", role = c("ctb")),
person("Noah", "Greifer", role = c("ctb", "cre", "aut"),
email = "noah.greifer@gmail.com",
comment = c(ORCID="0000-0003-3067-7154"))
)
optmatch, Matching, rgenoud, cem (>= 1.1.27), nnet, rpart,
mgcv, CBPS (>= 0.17), dbarts, randomForest, cobalt (>= 4.2.3),
boot, lmtest, sandwich (>= 2.5-1), survival, RcppProgress (>=
0.4.2), knitr, rmarkdown

optmatch, Matching, rgenoud, nnet, rpart, mgcv, CBPS (>=
0.17), dbarts, randomForest, cobalt (>= 4.2.3), boot, lmtest,
sandwich (>= 2.5-1), survival, RcppProgress (>= 0.4.2), knitr,
rmarkdown

Selects matched samples of the original treated and
control groups with similar covariate distributions -- can be
used to match exactly on covariates, to match on propensity
scores, or perform a variety of other matching procedures.  The
package also implements a series of recommendations offered in
Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>. (The
'gurobi' package, which is not on CRAN, is optional and comes with
an installation of the Gurobi Optimizer, available at
<https://www.gurobi.com>.)
optmatch, Matching, rgenoud, nnet, rpart, mgcv, CBPS (>=
0.17), dbarts, randomForest, glmnet (>= 4.0), gbm (>= 2.1.7),
cobalt (>= 4.2.3), boot, lmtest, sandwich (>= 2.5-1), survival,
RcppProgress (>= 0.4.2), Rglpk, Rsymphony, gurobi, knitr,
rmarkdown