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IPWboxplot

0.1.2Package record

Adapted Boxplot to Missing Observations

0packages depend
7.4Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Ana Perez-Gonzalez <anapg@uvigo.es>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = c("Ana", "Maria"),
                      family = "Bianco",
                      role = "aut"),
               person(given = "Graciela",
                      family = "Boente",
                      role = "aut"),
               person(given = "Ana",
                      family = "Perez-Gonzalez",
                      role = c("aut", "cre"),
                      email = "anapg@uvigo.es"))
as necessary.

CRAN check page ↗

Slowest check: 57 s · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.2
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
3
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
100%
Vignettes (1)

Downloads

7.4K
CRAN downloads in the past year
Rank #7,647 · ~20/day · ~615/mo
Daily download trend is not available in this view yet.
42730 days
1.2K90 days
7.4K1 year
Compare downloads with other packages →
Also on89 r2u3 autocran81 c2d4u

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing IPWboxplot adds 2 packages (1 with compiled code, 347 KB of source tarballs). Heaviest: isotone 336 KB, nnls 11 KB.

Depends (0)
none
Imports (1)
LinkingTo (0)
none
Suggests (3)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (from the free-text Author field) (3)

Maintainer since 0.1.0 (2019)

Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.2Latest
    record
    2023-10-21 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.1
    record
    2022-04-22 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1.0
    record
    2019-01-02
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2019-01-02
Total releases
3 / 7 yrs
License
GPL (>= 2) OSI
Download size
24 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("IPWboxplot")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for IPWboxplot version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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