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rbmi: Reference Based Multiple Imputation
Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi:10.1214/20-STS793>.
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Package details |
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| Author | Lukas A. Widmer [aut, cre] (ORCID: <https://orcid.org/0000-0003-1471-3493>), Craig Gower-Page [aut], Isaac Gravestock [aut] (ORCID: <https://orcid.org/0000-0003-0283-2065>), Alessandro Noci [aut], Marcel Wolbers [aut] (ORCID: <https://orcid.org/0000-0003-4915-9015>), Daniel Sabanes Bove [aut] (ORCID: <https://orcid.org/0000-0002-0176-9239>), F. Hoffmann-La Roche AG [cph, fnd] |
| Maintainer | Lukas A. Widmer <lukas_andreas.widmer@novartis.com> |
| License | Apache License (>= 2) |
| Version | 1.6.1 |
| URL | https://openpharma.github.io/rbmi/ https://github.com/openpharma/rbmi |
| Package repository | View on CRAN |
| Installation |
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