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IPWboxplot: Adapted Boxplot to Missing Observations

Boxplots adapted to the happenstance of missing observations where drop-out probabilities can be given by the practitioner or modelled using auxiliary covariates. The paper of "Zhang, Z., Chen, Z., Troendle, J. F. and Zhang, J.(2012) <doi:10.1111/j.1541-0420.2011.01712.x>", proposes estimators of marginal quantiles based on the Inverse Probability Weighting method.

Version:0.1.2
Imports:isotone
Suggests:mice,knitr,rmarkdown
Published:2023-10-21
DOI:10.32614/CRAN.package.IPWboxplot
Author:Ana Maria Bianco [aut], Graciela Boente [aut], Ana Perez-Gonzalez [aut]
Maintainer:Ana Perez-Gonzalez <anapg at uvigo.es>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:no
In views:MissingData
CRAN checks:IPWboxplot results

Documentation:

Reference manual:IPWboxplot.html ,IPWboxplot.pdf
Vignettes:IPWboxplot (source,R code)

Downloads:

Package source: IPWboxplot_0.1.2.tar.gz
Windows binaries: r-devel:IPWboxplot_0.1.2.zip, r-release:IPWboxplot_0.1.2.zip, r-oldrel:IPWboxplot_0.1.2.zip
macOS binaries: r-release (arm64):IPWboxplot_0.1.2.tgz, r-oldrel (arm64):IPWboxplot_0.1.2.tgz, r-release (x86_64):IPWboxplot_0.1.2.tgz, r-oldrel (x86_64):IPWboxplot_0.1.2.tgz
Old sources: IPWboxplot archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=IPWboxplotto link to this page.


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