gerbil
Generalized Efficient Regression-Based Imputation with Latent Processes
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.9 |
rolling source/ R- | gerbil_0.1.9.tar.gz |
926.2 KiB |
0.1.9 |
rolling linux/jammy R-4.5 | gerbil_0.1.9.tar.gz |
1.1 MiB |
0.1.9 |
latest source/ R- | gerbil_0.1.9.tar.gz |
926.2 KiB |
0.1.9 |
latest linux/jammy R-4.5 | gerbil_0.1.9.tar.gz |
1.1 MiB |
0.1.9 |
2026-04-23 source/ R- | gerbil_0.1.9.tar.gz |
926.2 KiB |
0.1.9 |
2026-04-09 windows/windows R-4.5 | gerbil_0.1.9.zip |
1.1 MiB |
0.1.9 |
2025-04-20 source/ R- | gerbil_0.1.9.tar.gz |
926.2 KiB |