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: 0.1.0
Imports: isotone
Suggests: mice, knitr, rmarkdown
Published: 2019-01-02
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
CRAN checks: IPWboxplot results


Reference manual: IPWboxplot.pdf
Vignettes: Vignette Title
Package source: IPWboxplot_0.1.0.tar.gz
Windows binaries: r-devel: IPWboxplot_0.1.0.zip, r-devel-gcc8: IPWboxplot_0.1.0.zip, r-release: IPWboxplot_0.1.0.zip, r-oldrel: IPWboxplot_0.1.0.zip
OS X binaries: r-release: IPWboxplot_0.1.0.tgz, r-oldrel: IPWboxplot_0.1.0.tgz


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