checkmate, DiceKriging, distr6, e1071, glmnet, kknn, knitr,
lgr, MASS, mlr3proba (>= 0.2.2), nnet, pracma, ranger, rgenoud,
rmarkdown, testthat, xgboost

checkmate, DiceKriging, distr6, e1071, glmnet, kknn, knitr,
lgr, MASS, mlr3proba (>= 0.2.5), nnet, pracma, ranger, rgenoud,
rmarkdown, testthat (>= 3.0.0), xgboost

data.table, mlr3misc (>= 0.5.0), paradox, R6
checkmate, DiceKriging, distr6, e1071, glmnet, kknn, knitr,
lgr, MASS, mlr3proba (>= 0.3.2), nnet, pracma, ranger, rgenoud,
rmarkdown, testthat (>= 3.0.0), xgboost

checkmate, data.table, mlr3misc (>= 0.5.0), paradox, R6
DiceKriging, distr6, e1071, glmnet, kknn, knitr, lgr, MASS,
mlr3proba (>= 0.2.5), nnet, pracma, ranger, rgenoud, rmarkdown,
testthat (>= 3.0.0), xgboost

c(
person("Michel", "Lang", , "michellang@gmail.com", role = c("cre", "aut"),
comment = c(ORCID = "0000-0001-9754-0393")),
person("Quay", "Au", , "quayau@gmail.com", role = "aut",
comment = c(ORCID = "0000-0002-5252-8902")),
person("Stefan", "Coors", , "mail@stefancoors.de", role = "aut",
comment = c(ORCID = "0000-0002-7465-2146")),
person("Patrick", "Schratz", , "patrick.schratz@gmail.com", role = "aut",
comment = c(ORCID = "0000-0003-0748-6624"))
)
Recommended Learners for 'mlr3'. Extends 'mlr3' and
'mlr3proba' with interfaces to essential machine learning packages on
CRAN.  This includes, but is not limited to: (penalized) linear and
logistic regression, linear and quadratic discriminant analysis,
k-nearest neighbors, naive Bayes, support vector machines, and
gradient boosting.
checkmate, data.table, mlr3misc (>= 0.9.4), paradox, R6

Recommended Learners for 'mlr3'. Extends 'mlr3'
with interfaces to essential machine learning packages on
CRAN.  This includes, but is not limited to: (penalized) linear and
logistic regression, linear and quadratic discriminant analysis,
k-nearest neighbors, naive Bayes, support vector machines, and
gradient boosting.
DiceKriging, distr6, e1071, glmnet, kknn, knitr, lgr, MASS,
nnet, pracma, ranger, rgenoud, rmarkdown, testthat (>= 3.0.0),
xgboost