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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.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 IPWboxplot_0.1.2.tar.gz 66.0 KiB
0.1.2 rolling linux/noble R-4.5 IPWboxplot_0.1.2.tar.gz 66.0 KiB
0.1.2 rolling source/ R- IPWboxplot_0.1.2.tar.gz 24.8 KiB
0.1.2 latest linux/jammy R-4.5 IPWboxplot_0.1.2.tar.gz 66.0 KiB
0.1.2 latest linux/noble R-4.5 IPWboxplot_0.1.2.tar.gz 66.0 KiB
0.1.2 latest source/ R- IPWboxplot_0.1.2.tar.gz 24.8 KiB
0.1.2 2026-04-26 source/ R- IPWboxplot_0.1.2.tar.gz 24.8 KiB
0.1.2 2026-04-23 source/ R- IPWboxplot_0.1.2.tar.gz 24.8 KiB
0.1.2 2026-04-09 windows/windows R-4.5 IPWboxplot_0.1.2.zip 70.1 KiB
0.1.2 2025-04-20 source/ R- IPWboxplot_0.1.2.tar.gz 24.8 KiB

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