The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

To cite package 'missForest' or its original article in publications use:

Stekhoven DJ (2025). missForest: Nonparametric Missing Value Imputation using Random Forest. R package version 1.6.1.

Stekhoven DJ, Bühlmann P (2012). “MissForest: nonparametric missing value imputation for mixed-type data.” Bioinformatics, 28(1), 112–118. doi:10.1093/bioinformatics/btr597.

Corresponding BibTeX entries: 

  @Manual{,
    title = {missForest: Nonparametric Missing Value Imputation using
      Random Forest},
    author = {Daniel J. Stekhoven},
    year = {2025},
    note = {R package version 1.6.1},
  }

  @Article{,
    title = {MissForest: nonparametric missing value imputation for
      mixed-type data},
    author = {Daniel J. Stekhoven and Peter Bühlmann},
    journal = {Bioinformatics},
    year = {2012},
    volume = {28},
    number = {1},
    pages = {112--118},
    doi = {10.1093/bioinformatics/btr597},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.