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CALIBERrfimpute

1.0-8Package record

Multiple Imputation Using MICE and Random Forest

0packages depend
4.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Functions to impute using random forest under full conditional specifications (multivariate imputation by chained equations). The methods are described in Shah and others (2014) doi:10.1093/aje/kwt312.

Changes in 1.0-8

CHANGES:

  • Corrections to format of citation and URLs in documentation.

From NEWS in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.4 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0-8
READMENoVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.0-8Citation fileYes · computed when R runs itWebsitenot declared in DESCRIPTION
Help pages
6includes a package overview page
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
89%
Return-value docs
100%
Help pages citing references
50%

Downloads

4.8K
CRAN downloads in the past year
Rank #9,004 · ~13/day · ~398/mo
Daily download trend is not available in this view yet.
42630 days
1.1K90 days
4.8K1 year
Compare downloads with other packages →
Also on139 r2u10 autocran88 c2d4u

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing CALIBERrfimpute adds 55 packages (33 with compiled code, 41 MB of source tarballs). Heaviest: stringi 11 MB, lme4 4.1 MB, glmnet 2.7 MB.

Depends (1)
LinkingTo (0)
none
Suggests (5)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (5)
Author, Maintainer since 0.1-2 (2013)
Contributor · added in 0.1-5
Thesis advisor · added in 0.1-5
Thesis advisor · added in 0.1-5
Thesis advisor · added in 0.1-5
Releases (9)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0-8Latest
    record
    2026-02-23 · current release · diff ↗
  • 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
  • 1.0-7
    record
    2022-12-04 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0-6
    record
    2021-11-26 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • unarchivedReturned to CRAN
    2021-05-05
  • 1.0-5
    record
    2021-05-05 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • archivedRemoved from CRAN
    2019-11-23
    check problems were not corrected in time
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0-1
    record
    2018-06-11 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
Show 9 earlier eventsHide 9 earlier events
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 0.1-6
    record
    2014-05-07 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 0.1-5
    record
    2014-03-24 · diff ↗
  • 0.1-4
    record
    2014-02-13 · diff ↗
  • 0.1-2
    record
    2013-11-11
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2013-11-11
Total releases
9 / 13 yrs
License
GPL-3 OSI
Download size
616 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CALIBERrfimpute")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 CALIBERrfimpute version 1.0-8 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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