opImputation
Optimal Selection of Imputation Methods for Pain-Related Numerical Data
A model-agnostic framework for selecting dataset-specific imputation methods for missing values in numerical data related to pain. Lotsch J, Ultsch A (2025) "A model-agnostic framework for dataset-specific selection of missing value imputation methods in pain-related numerical data" Canadian Journal of Pain (in minor revision).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.6 |
rolling linux/jammy R-4.5 | opImputation_0.6.tar.gz |
139.9 KiB |
0.6 |
rolling linux/noble R-4.5 | opImputation_0.6.tar.gz |
139.8 KiB |
0.6 |
rolling source/ R- | opImputation_0.6.tar.gz |
53.7 KiB |
0.6 |
latest linux/jammy R-4.5 | opImputation_0.6.tar.gz |
139.9 KiB |
0.6 |
latest linux/noble R-4.5 | opImputation_0.6.tar.gz |
139.8 KiB |
0.6 |
latest source/ R- | opImputation_0.6.tar.gz |
53.7 KiB |
0.6 |
2026-04-26 source/ R- | opImputation_0.6.tar.gz |
53.7 KiB |
0.6 |
2026-04-23 source/ R- | opImputation_0.6.tar.gz |
53.7 KiB |