The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.

dropout: Handling Incomplete Responses in Survey Data Analysis

Offers robust tools to identify and manage incomplete responses in survey datasets, thereby enhancing the quality and reliability of research findings.

Version: 2.2.0
Depends: R (≥ 3.5)
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-10-16
DOI: 10.32614/CRAN.package.dropout
Author: Hendrik Mann [aut, cre]
Maintainer: Hendrik Mann <hendrik.mann at uni-wuppertal.de>
BugReports: https://github.com/hendr1km/dropout/issues
License: MIT + file LICENSE
URL: https://github.com/hendr1km/dropout, https://hendr1km.github.io/dropout/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: dropout results

Documentation:

Reference manual: dropout.pdf
Vignettes: Using dropout (source, R code)

Downloads:

Package source: dropout_2.2.0.tar.gz
Windows binaries: r-devel: dropout_2.2.0.zip, r-release: dropout_2.2.0.zip, r-oldrel: dropout_2.2.0.zip
macOS binaries: r-release (arm64): dropout_2.2.0.tgz, r-oldrel (arm64): dropout_2.2.0.tgz, r-release (x86_64): dropout_2.2.0.tgz, r-oldrel (x86_64): dropout_2.2.0.tgz
Old sources: dropout archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dropout to link to this page.

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.
Health stats visible at Monitor.