multimput
multimput is an R package that assists with analysing dataset with missing values using multiple imputation.
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 7 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (17.2%) to scientific vocabulary
Keywords
Repository
multimput is an R package that assists with analysing dataset with missing values using multiple imputation.
Basic Info
- Host: GitHub
- Owner: inbo
- License: gpl-3.0
- Language: R
- Default Branch: main
- Homepage: https://inbo.github.io/multimput
- Size: 11.4 MB
Statistics
- Stars: 1
- Watchers: 7
- Forks: 2
- Open Issues: 0
- Releases: 15
Topics
Metadata Files
README.md
multimput
Rationale
The multimput package was originally intended to provide the data and code to replicate the results of Onkelinx, Devos, and Quataert (2016).
This paper is freely available at http://dx.doi.org/10.1007/s10336-016-1404-9.
The functions were all rewritten to make them more user-friendly and more generic.
In order to make the package more compact, we removed the original code and data starting for version 0.2.6.
However both the original code and data remain available in the older releases.
Documentation
All helpfiles and vignettes are available at https://inbo.github.io/multimput/
Installation
This package requires the INLA package.
You need to install it with install.packages("INLA", repos = "https://inla.r-inla-download.org/R/stable").
If this fails you can use remotes::install_github("inbo/INLA").
Note that the latter is just a read-only mirror which is infrequently updated.
Hence installing INLA from https://inla.r-inla-download.org is highly recommended.
Once INLA is installed, you can install multimput using the remotes package: remotes::install_github("inbo/multimput", build_vignettes = TRUE)).
To view the vignette use vignette("Impute", package = "multimput").
The vignette is also available at https://inbo.github.io/multimput/articles/impute.html
A docker image with all the required dependencies is available from https://hub.docker.com/r/inbobmk/multimput/.
Use docker pull inbobmk/multimput to get it.
Folder structure
The folder structure is that of a typical R packages with the mandatory R folder (definition of the functions) and man (helpfiles in Rd format).
data is an optional folder in which some data sets are stored.
The optional test folder contains the unit tests using the infrastructure from the testthat package.
The optional vignette folder contains examples of the available themes.
man-roxygen contains roxygen2 templates for the documentation.
multimput
|-- data
|-- man
|-- man-roxygen
|-- R
|-- tests
|-- testthat
|-- vignettes
Owner
- Name: Research Institute for Nature and Forest (INBO)
- Login: inbo
- Kind: organization
- Location: Belgium
- Website: http://www.inbo.be/en
- Repositories: 125
- Profile: https://github.com/inbo
Open source, data and science initiatives of the Research Institute for Nature and Forest (INBO)
Citation (CITATION.cff)
cff-version: 1.2.0 message: If you use this software, please cite it using these metadata. title: "multimput: Using Multiple Imputation to Address Missing Data" authors: - given-names: Thierry family-names: Onkelinx affiliation: Research Institute for Nature and Forest (INBO) orcid: 0000-0001-8804-4216 - given-names: Koen family-names: Devos affiliation: Research Institute for Nature and Forest (INBO) orcid: 0000-0001-7265-6349 - given-names: Paul family-names: Quataert orcid: 0000-0002-6894-9402 keywords: - missing data, multiple imputation, Rubin contact: - given-names: Thierry family-names: Onkelinx affiliation: Research Institute for Nature and Forest (INBO) orcid: 0000-0001-8804-4216 doi: 10.5281/zenodo.598331 license: GPL-3.0 repository-code: https://github.com/inbo/multimput/ type: software abstract: "Accompanying package for the paper: Working with population totals in the presence of missing data comparing imputation methods in terms of bias and precision. Published in 2017 in the Journal of Ornithology volume 158 page 603–615 (doi:10.1007/s10336-016-1404-9)." identifiers: - type: doi value: 10.5281/zenodo.598331 - type: url value: https://inbo.github.io/multimput/ version: 0.2.15
GitHub Events
Total
- Release event: 1
- Delete event: 1
- Push event: 3
- Pull request event: 2
- Create event: 2
Last Year
- Release event: 1
- Delete event: 1
- Push event: 3
- Pull request event: 2
- Create event: 2
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 9
- Total pull requests: 36
- Average time to close issues: almost 2 years
- Average time to close pull requests: 13 days
- Total issue authors: 2
- Total pull request authors: 2
- Average comments per issue: 0.78
- Average comments per pull request: 0.89
- Merged pull requests: 35
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: about 7 hours
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ThierryO (8)
- florisvdh (1)
Pull Request Authors
- ThierryO (35)
- peterdesmet (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- R >= 3.0.0 depends
- assertthat * imports
- digest * imports
- dplyr * imports
- lme4 * imports
- methods * imports
- mvtnorm * imports
- purrr * imports
- rlang * imports
- tibble * imports
- tidyr * imports
- INLA >= 22.01.19 suggests
- MASS * suggests
- ggplot2 * suggests
- knitr * suggests
- mgcv * suggests
- rmarkdown * suggests
- sn * suggests
- testthat * suggests
- inbo/actions/check_pkg master composite
- actions/cache v1 composite
- actions/checkout v2 composite
- actions/upload-artifact master composite
- r-lib/actions/setup-pandoc master composite
- r-lib/actions/setup-r master composite
- inbo/actions/check_pkg master composite
- actions/checkout v2 composite
- actions/create-release v1 composite