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impimp

0.3.1Package record

Imprecise Imputation for Statistical Matching

0packages depend
2.3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Imputing blockwise missing data by imprecise imputation, featuring a domain-based, variable-wise, and case-wise strategy. Furthermore, the estimation of lower and upper bounds for unconditional and conditional probabilities based on the obtained imprecise data is implemented. Additionally, two utility functions are supplied: one to check whether variables in a data set contain set-valued observations; and another to merge two already imprecisely imputed data. The method is described in a technical report by Endres, Fink and Augustin (2018, doi:10.5282/ubm/epub.42423).

Changes in 0.3.1

New features

  • impimp() returns names of variables which are imputed as an attribute (Paul Fink).
  • impimp_event() has a new argument isEventList allowing to supply events now also programmatically as list input (Paul Fink).

Changes

  • rbindimpimp stores variables containing imputed values as character (Paul Fink).
  • rbindimpimp returns the names of the variables which contain imputed values as an attribute (Paul Fink).

Bug Fix

  • The internal levels guessing algorithm used by impimp is able to cope with factor variables (Paul Fink).

From inst/NEWS.Rd in the release

Install

Health

CRAN checks
13OK
Slowest check: 49 s · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.3.1
READMENoVignettesNoNEWSYes · mentions 0.3.1Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
7
Examples that run
100%7 run in a plain check
Exported functions with examples
100%
Documented parameters
83%
Return-value docs
100%
Help pages citing references
43%

Downloads

2.3K
CRAN downloads in the past year
Rank #20,965 · ~6/day · ~190/mo
Daily download trend is not available in this view yet.
21830 days
63990 days
2.3K1 year
Compare downloads with other packages →
Also on86 r2u5 autocran95 c2d4u

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing impimp adds no packages beyond those that come with R.

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

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.2.0 (2018)
Contributor
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
  • R
    R 4.3.0 released · 2023-04-21
  • 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
  • 0.3.1Latest
    record
    2019-02-03 · current release · diff ↗
  • 0.3.0
    record
    2018-11-23 · diff ↗
  • 0.2.0
    record
    2018-09-30
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-09-30
Total releases
3 / 8 yrs
License
GPL-2 | GPL-3 OSI
Download size
17 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("impimp")
Fink, P., Endres, E., & Schmoll, M. (2019). impimp: Imprecise Imputation for Statistical Matching (Version 0.3.1) [Computer software]. https://doi.org/10.32614/CRAN.package.impimp

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 impimp version 0.3.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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