lvimp
Perform Inference on Summaries of Longitudinal Algorithm-Agnostic Variable Importance
Calculate point estimates of and valid confidence intervals for longitudinal summaries of nonparametric, algorithm-agnostic variable importance measures. For more details, see Williamson et al. (2024) <doi:10.48550/arXiv.2311.01638>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | lvimp_1.0.0.tar.gz |
80.7 KiB |
1.0.0 |
rolling linux/noble R-4.5 | lvimp_1.0.0.tar.gz |
80.7 KiB |
1.0.0 |
rolling source/ R- | lvimp_1.0.0.tar.gz |
52.0 KiB |
1.0.0 |
latest linux/jammy R-4.5 | lvimp_1.0.0.tar.gz |
80.7 KiB |
1.0.0 |
latest linux/noble R-4.5 | lvimp_1.0.0.tar.gz |
80.7 KiB |
1.0.0 |
latest source/ R- | lvimp_1.0.0.tar.gz |
52.0 KiB |
1.0.0 |
2026-04-26 source/ R- | lvimp_1.0.0.tar.gz |
52.0 KiB |
1.0.0 |
2026-04-23 source/ R- | lvimp_1.0.0.tar.gz |
52.0 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | lvimp_1.0.0.zip |
84.6 KiB |