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..

Version:	0.1.0
Imports:	MASS, glasso, survival, stats
Published:	2026-06-04
DOI:	10.32614/CRAN.package.MSN (may not be active yet)
Author:	Li-Pang Chen [aut, cre]
Maintainer:	Li-Pang Chen <lchen723 at nccu.edu.tw>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	MSN results

Documentation:

Reference manual:

MSN.html , MSN.pdf

Downloads:

Package source:	MSN_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): MSN_0.1.0.tgz, r-oldrel (arm64): MSN_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): MSN_0.1.0.tgz

Linking:

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