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..
| Version: | 0.1.0 |
| Imports: | MASS, glasso, survival, stats |
| Published: | 2026-06-04 |
| DOI: | 10.32614/CRAN.package.MSN |
| Author: | Li-Pang Chen [aut, cre] |
| Maintainer: | Li-Pang Chen <lchen723 at nccu.edu.tw> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | MSN results |
| Reference manual: | MSN.html , MSN.pdf |
| Package source: | MSN_0.1.0.tar.gz |
| Windows binaries: | r-devel: MSN_0.1.0.zip, r-release: MSN_0.1.0.zip, r-oldrel: MSN_0.1.0.zip |
| macOS binaries: | r-release (arm64): MSN_0.1.0.tgz, r-oldrel (arm64): MSN_0.1.0.tgz, r-release (x86_64): MSN_0.1.0.tgz, r-oldrel (x86_64): MSN_0.1.0.tgz |
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