rbmi
rbmi: A R package for standard and reference-based multiple imputation methods - Published in JOSS (2022)
Science Score: 93.0%
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Published in Journal of Open Source Software
Scientific Fields
Repository
Reference based multiple imputation R package
Basic Info
- Host: GitHub
- Owner: insightsengineering
- License: other
- Language: R
- Default Branch: main
- Homepage: https://insightsengineering.github.io/rbmi/
- Size: 17.1 MB
Statistics
- Stars: 20
- Watchers: 4
- Forks: 11
- Open Issues: 40
- Releases: 17
Metadata Files
README.md
Reference Based Multiple Imputation (rbmi) 
Overview
The rbmi package is used for the imputation of missing data in clinical trials with continuous multivariate normal longitudinal outcomes.
It supports imputation under a missing at random (MAR) assumption, reference-based imputation methods,
and delta adjustments (as required for sensitivity analysis such as tipping point analyses). The package implements both Bayesian and
approximate Bayesian multiple imputation combined with Rubin's rules for inference, and frequentist conditional mean imputation combined with
(jackknife or bootstrap) resampling.
Installation
The package can be installed directly from CRAN via:
install.packages("rbmi")
Note that the usage of Bayesian multiple imputation requires the installation of the suggested
package rstan.
install.packages("rstan")
Usage
The package is designed around its 4 core functions:
draws()- Fits multiple imputation modelsimpute()- Imputes multiple datasetsanalyse()- Analyses multiple datasetspool()- Pools multiple results into a single statistic
The basic usage of these core functions is described in the quickstart vignette:
vignette(topic = "quickstart", package = "rbmi")
Validation
For clarification on the current validation status of rbmi please see the FAQ vignette.
Support
For any help with regards to using the package or if you find a bug please create a GitHub issue
Owner
- Name: Roche/Genentech - Insights Engineering
- Login: insightsengineering
- Kind: organization
- Location: Switzerland
- Website: https://code4life.roche.com/
- Repositories: 53
- Profile: https://github.com/insightsengineering
Roche/Genentech - Insights Engineering
JOSS Publication
rbmi: A R package for standard and reference-based multiple imputation methods
Authors
Data and Statistical Sciences, Pharma Development, Roche, Welwyn Garden City, UK
Data and Statistical Sciences, Pharma Development, Roche, Basel, Switzerland
Data and Statistical Sciences, Pharma Development, Roche, Basel, Switzerland
Tags
Biostatistics Clinical Trials Estimands Missing Data Multiple Imputation Reference-based MethodsGitHub Events
Total
- Create event: 6
- Release event: 1
- Issues event: 11
- Watch event: 2
- Delete event: 2
- Issue comment event: 68
- Member event: 3
- Push event: 92
- Pull request review comment event: 65
- Pull request event: 11
- Pull request review event: 81
- Fork event: 4
Last Year
- Create event: 6
- Release event: 1
- Issues event: 11
- Watch event: 2
- Delete event: 2
- Issue comment event: 68
- Member event: 3
- Push event: 92
- Pull request review comment event: 65
- Pull request event: 11
- Pull request review event: 81
- Fork event: 4
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Craig Gower-Page | c****e@r****m | 479 |
| Alessandro Noci | a****i@r****m | 248 |
| wolbersm | 9****m | 47 |
| Daniel Sabanes Bove | d****e | 7 |
| Isaac Gravestock | i****k@r****m | 6 |
| cicdguy | 2****y | 4 |
| Dinakar | 2****9 | 4 |
| James Black | j****2@r****m | 3 |
| Pawel Rucki | p****i@g****m | 2 |
| walkowif | 5****f | 1 |
| Arfon Smith | a****n | 1 |
| Andrew Johnson | a****n@a****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 121
- Total pull requests: 132
- Average time to close issues: 4 months
- Average time to close pull requests: 6 days
- Total issue authors: 19
- Total pull request authors: 11
- Average comments per issue: 1.74
- Average comments per pull request: 1.28
- Merged pull requests: 109
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 47
- Pull requests: 53
- Average time to close issues: 5 days
- Average time to close pull requests: 2 days
- Issue authors: 10
- Pull request authors: 5
- Average comments per issue: 1.53
- Average comments per pull request: 1.38
- Merged pull requests: 39
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- gowerc (70)
- nociale (19)
- tobiasmuetze (7)
- wolbersm (3)
- Generalized (2)
- danielinteractive (2)
- pawelru (2)
- harriscw (2)
- luwidmer (2)
- gravesti (2)
- tronieri (1)
- MayFine (1)
- osamaidais (1)
- adrianolszewski (1)
- clarkliming (1)
Pull Request Authors
- gowerc (75)
- nociale (17)
- danielinteractive (15)
- pengguanya (6)
- gravesti (6)
- cicdguy (5)
- wolbersm (2)
- epijim (2)
- arfon (1)
- AKlebus (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 421 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 12
- Total maintainers: 1
cran.r-project.org: rbmi
Reference Based Multiple Imputation
- Homepage: https://insightsengineering.github.io/rbmi/
- Documentation: http://cran.r-project.org/web/packages/rbmi/rbmi.pdf
- License: Apache License (≥ 2)
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Latest release: 1.4.1
published 12 months ago
Rankings
Maintainers (1)
Dependencies
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