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0.1.0

Multivariate Survival Data with Network Structures

0packages depend
567downloads / year
test coverage
12/13checks pass

Overview

About
Maintained by Li-Pang ChenFirst published 2026-06-041 releasesCRAN page ↗

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..

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Health

CRAN checks
1NOTE12OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 1.6 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-05
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
97%
Return-value docs
100%
References docs
0%

Downloads

567
CRAN downloads in the past year
Rank #19,457 · ~2/day · ~47/mo
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Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (0)
none
Imports (4)
MASSglassosurvivalstats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

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Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-06-04 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-06-04
Total releases
1 / 1 yrs
License
GPL-3 OSI
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
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