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IPWboxplot  

Adapted Boxplot to Missing Observations
View on CRAN: Click here


Download and install IPWboxplot package within the R console
Install from CRAN:
install.packages("IPWboxplot")

Install from Github:
library("remotes")
install_github("cran/IPWboxplot")

Install by package version:
library("remotes")
install_version("IPWboxplot", "0.1.2")



Attach the package and use:
library("IPWboxplot")
Maintained by
Ana Perez-Gonzalez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-02
Latest Update: 2022-04-22
Description:
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) ", proposes estimators of marginal quantiles based on the Inverse Probability Weighting method.
How to cite:
Ana Perez-Gonzalez (2019). IPWboxplot: Adapted Boxplot to Missing Observations. R package version 0.1.2, https://cran.r-project.org/web/packages/IPWboxplot. Accessed 28 Jan. 2025.
Previous versions and publish date:
0.1.0 (2019-01-02 14:30), 0.1.1 (2022-04-22 13:30)
Other packages that cited IPWboxplot R package
View IPWboxplot citation profile
Other R packages that IPWboxplot depends, imports, suggests or enhances
Complete documentation for IPWboxplot
Functions, R codes and Examples using the IPWboxplot R package
Some associated functions: IPW_ASYM_Boxplot . IPW_boxplot . IPW_quantile . 
Some associated R codes: IPW_ASYM_Boxplot.R . IPW_boxplot.R . IPW_quantile.R .  Full IPWboxplot package functions and examples
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