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:	0.1.1
Imports:	isotone
Suggests:	mice, knitr, rmarkdown
Published:	2022-04-22
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.pdf
Vignettes:	IPWboxplot

Downloads:

Package source:	IPWboxplot_0.1.1.tar.gz
Windows binaries:	r-devel: IPWboxplot_0.1.1.zip, r-release: IPWboxplot_0.1.1.zip, r-oldrel: IPWboxplot_0.1.1.zip
macOS binaries:	r-release (arm64): IPWboxplot_0.1.1.tgz, r-oldrel (arm64): IPWboxplot_0.1.1.tgz, r-release (x86_64): IPWboxplot_0.1.1.tgz, r-oldrel (x86_64): IPWboxplot_0.1.1.tgz
Old sources:	IPWboxplot archive

Linking:

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