MSN
Multivariate Survival Data with Network Structures
Implements a semi-parametric estimation framework combined with a boosting algorithm to marginally estimate the conditional cumulative distribution function of survival times given informative covariates. It then utilizes the graphical lasso method to reconstruct network structures among multivariate time-to-event variables, accommodating both multivariate outcomes measured within a single dataset and survival times integrated from heterogeneous (multi-source) datasets..
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | MSN_0.1.0.tar.gz |
34.6 KiB |
0.1.0 |
rolling linux/noble R-4.5 | MSN_0.1.0.tar.gz |
34.4 KiB |
0.1.0 |
rolling source/ R- | MSN_0.1.0.tar.gz |
5.8 KiB |
0.1.0 |
latest linux/jammy R-4.5 | MSN_0.1.0.tar.gz |
34.6 KiB |
0.1.0 |
latest linux/noble R-4.5 | MSN_0.1.0.tar.gz |
34.4 KiB |
0.1.0 |
latest source/ R- | MSN_0.1.0.tar.gz |
5.8 KiB |
0.1.0 |
2026-04-23 source/ R- | MSN_0.1.0.tar.gz |
0 B |