R Observatory: Metrics for miceMNAR version 1.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2021-11-07. Its history is shown below.

Reason: email to the maintainer was undeliverable

Details below reflect version 1.0.2, its last release before removal.

miceMNAR

1.0.2Package record

Missing not at Random Imputation Models for Multiple Imputation by Chained Equation

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Jacques-Emmanuel GalimardCRAN page ↗

Provides imputation models and functions for binary or continuous Missing Not At Random (MNAR) outcomes through the use of the 'mice' package. The mice.impute.hecknorm() function provides imputation model for continuous outcome based on Heckman's model also named sample selection model as described in Galimard et al (2018) and Galimard et al (2016) doi:10.1002/sim.6902. The mice.impute.heckprob() function provides imputation model for binary outcome based on bivariate probit model as described in Galimard et al (2018).

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/miceMNAR/miceMNAR_1.0.2.tar.gz"
pkgFile <- "miceMNAR_1.0.2.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.0.2) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.2

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot 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: 100%
Return-value docs: 100%
Help pages citing references: 83%

How these are measured

Downloads

miceMNAR Releases R versions

Daily download trend is not available in this view yet.

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Also on134 c2d4u

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (2)

R >= 3.2.1mice

Imports (5)

statsmvtnorm pbivnorm GJRM sampleSelection

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Jacques-Emmanuel Galimard

Author, Maintainer since 1.0 (2018)

Matthieu Resche-Rigon

Author

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.2.0 released · 2022-04-22
archivedRemoved from CRAN
2021-11-07
email to the maintainer was undeliverable
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
1.0.2
record
2018-08-27 · diff ↗
1.0.1
record
2018-05-29 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.0
record
2018-04-12
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2018-04-12
Total releases: 3 / 8 yrs
License: GPL-2 | GPL-3 OSI
Minimum R: ≥ 3.2.1

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("miceMNAR")

Format

Galimard, J., & Resche-Rigon, M. (n.d.). miceMNAR: Missing not at Random Imputation Models for Multiple Imputation by Chained Equation (Version 1.0.2) [Computer software]. Retrieved October 27, 2026, from https://CRAN.R-project.org/package=miceMNAR

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for miceMNAR version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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