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


Reference manual: IPWboxplot.pdf
Vignettes: IPWboxplot


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


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