Package: MSN 0.1.0

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..

Authors:Li-Pang Chen [aut, cre]

MSN_0.1.0.tar.gz
MSN_0.1.0.zip(r-4.7)MSN_0.1.0.zip(r-4.6)MSN_0.1.0.zip(r-4.5)
MSN_0.1.0.tgz(r-4.6-any)MSN_0.1.0.tgz(r-4.5-any)
MSN_0.1.0.tar.gz(r-4.7-any)MSN_0.1.0.tar.gz(r-4.6-any)
MSN_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
MSN/json (API)

# Install 'MSN' in R:
install.packages('MSN', repos = c('https://lchen723.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 3 exports 5 dependencies

Last updated from:bc73e367be. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK120
source / vignettesOK134
linux-release-x86_64OK118
macos-release-arm64OK160
macos-oldrel-arm64OK162
windows-develOK83
windows-releaseOK83
windows-oldrelOK80
wasm-releaseOK105

Exports:network_estimatenetwork_estimate_BICsemi_estimation

Dependencies:glassolatticeMASSMatrixsurvival