gerbil
0.1.9Generalized Efficient Regression-Based Imputation with Latent Processes
Overview
Implements a new multiple imputation method that draws imputations from a latent joint multivariate normal model which underpins generally structured data. This model is constructed using a sequence of flexible conditional linear models that enables the resulting procedure to be efficiently implemented on high dimensional datasets in practice. See Robbins (2021) arXiv:2008.02243.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-06-0911 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0811 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 17%
- Documented parameters
- 99%
- Return-value docs
- 100%
- References docs
- 7%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.9Latest
- unarchivedReturned to CRAN2023-01-12
- archivedRemoved from CRAN2022-10-15issues were not corrected in time AND policy violation, spamming a member of the CRAN team
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.52021-03-23
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-03-23
- Total releases
- 2 / 5 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 564 KB / 3 files
- Download size
- 927 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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