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IPWboxplot
View on CRAN: Click
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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]
[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.
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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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