Package: SurvGME 0.1.0

SurvGME: Analysis of Survival Data under Graphical and Measurement Error Models

The estimation method proposed by Chen and Yi (2021) <doi:10.1111/biom.13331> is extended to the analysis of survival data, accommodating commonly used survival models while accounting for measurement error and network structures among covariates.

Authors:Li-Pang Chen [aut, cre], Grace Y. Yi [aut]

SurvGME_0.1.0.tar.gz
SurvGME_0.1.0.zip(r-4.7)SurvGME_0.1.0.zip(r-4.6)SurvGME_0.1.0.zip(r-4.5)
SurvGME_0.1.0.tgz(r-4.6-any)SurvGME_0.1.0.tgz(r-4.5-any)
SurvGME_0.1.0.tar.gz(r-4.7-any)SurvGME_0.1.0.tar.gz(r-4.6-any)
SurvGME_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SurvGME/json (API)

# Install 'SurvGME' in R:
install.packages('SurvGME', 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 477 downloads 6 exports 54 dependencies

Last updated from:c78bd73340. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK172
source / vignettesOK194
linux-release-x86_64OK181
macos-release-arm64OK143
macos-oldrel-arm64OK108
windows-develOK153
windows-releaseOK119
windows-oldrelOK115
wasm-releaseOK113

Exports:bootstrapSIMEX_AFTSIMEX_AHSIMEX_PHSIMEX_TMVS_network

Dependencies:ahazclicodacodetoolscpp11crayondplyrfarverforcatsforeachgenericsGGallyggplot2ggstatsglmnetgluegtablehmsisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixncvregnetworkpatchworkpillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerRcppRcppEigenrlangS7scalesshapesnastatnet.commonstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr