R6, backports, checkmate, data.table, mlr3misc (>= 0.9.3),
DBI, RSQLite, dbplyr, dplyr, duckdb (>= 0.3.1), future,
future.apply, future.callr, lgr, testthat (>= 3.0.0), tibble

Extends the 'mlr3' package with a backend to
transparently work with databases such as 'SQLite', 'DuckDB', 'MySQL',
'MariaDB', or 'PostgreSQL'. The package provides two additional backends:
'DataBackendDplyr' relies on the abstraction of package 'dbplyr' to
interact with most DBMS. 'DataBackendDuckDB' operates on 'DuckDB' data bases
and also on Apache Parquet files.
R6, backports, checkmate, data.table, mlr3misc (>= 0.10.0)
DBI, RSQLite, dbplyr, dplyr, duckdb (>= 0.4.0), future,
future.apply, future.callr, lgr, testthat (>= 3.0.0), tibble

Fairness Auditing and Debiasing for 'mlr3'
c(
person(given = "Florian",
family = "Pfisterer",
role = c("cre", "aut"),
email = "pfistererf@googlemail.com",
comment = c(ORCID = "0000-0001-8867-762X")),
person(given = "Wei",
family = "Siyi",
role = "aut",
email = "weisiyi2@gmail.com"),
person(given = "Michel",
family = "Lang",
role = "aut",
email = "michellang@gmail.com",
comment = c(ORCID = "0000-0001-9754-0393"))
)
Integrates fairness auditing and bias mitigation methods for the 'mlr3' ecosystem.
This includes fairness metrics, reporting tools, visualizations and bias mitigation techniques such as
"Reweighing" described in 'Kamiran, Calders' (2012) <doi:10.1007/s10115-011-0463-8>  and
"Equalized Odds" described in 'Hardt et al.' (2016) <https://papers.nips.cc/paper/2016/file/9d2682367c3935defcb1f9e247a97c0d-Paper.pdf>.
Integration with 'mlr3' allows for auditing of ML models as well as convenient joint tuning of
machine learning algorithms and debiasing methods.
checkmate, R6 (>= 2.4.1), data.table (>= 1.13.6), paradox,
mlr3measures, mlr3misc, mlr3pipelines, ggplot2
mlr3viz, rmarkdown, knitr, rpart, testthat (>= 3.0.0),
patchwork, ranger, mlr3learners, linprog, posterdown,
kableExtra, fairml, iml
Florian Pfisterer [cre, aut] (<https://orcid.org/0000-0001-8867-762X>),
Wei Siyi [aut],
Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>)