Package: FastJM 1.4.2

FastJM: Semi-Parametric Joint Modeling of Longitudinal and Survival Data

Maximum likelihood estimation for the semi-parametric joint modeling of competing risks and longitudinal data applying customized linear scan algorithms, proposed by Li and colleagues (2022) <doi:10.1155/2022/1362913>. The time-to-event data is modelled using a (cause-specific) Cox proportional hazards regression model with time-fixed covariates. The longitudinal outcome is modelled using a linear mixed effects model. The association is captured by shared random effects. The model is estimated using an Expectation Maximization algorithm.

Authors:Shanpeng Li [aut, cre], Ning Li [ctb], Hong Wang [ctb], Jin Zhou [ctb], Hua Zhou [ctb], Gang Li [ctb]

FastJM_1.4.2.tar.gz
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FastJM.pdf |FastJM.html✨
FastJM/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/shanpengli/fastjm/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • cdata - Simulated competing risks data
  • ydata - Simulated longitudinal data

On CRAN:

cpp

7 exports 5 stars 1.65 score 129 dependencies 1 dependents 2 scripts 305 downloads

Last updated 7 months agofrom:c8b70f44fe. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 27 2024
R-4.5-win-x86_64OKAug 27 2024
R-4.5-linux-x86_64OKAug 27 2024
R-4.4-win-x86_64OKAug 27 2024
R-4.4-mac-x86_64OKAug 27 2024
R-4.4-mac-aarch64OKAug 27 2024
R-4.3-win-x86_64OKAug 27 2024
R-4.3-mac-x86_64OKAug 27 2024
R-4.3-mac-aarch64OKAug 27 2024

Exports:AUCjmcsfixefjmcsMAEQjmcsPEjmcsranefsurvfitjmcs

Dependencies:backportsbase64encbslibcachemcaretcheckmateclasscliclockclustercmprskcodetoolscolorspacecpp11data.tablediagramdigestdoParalleldplyre1071evaluatefansifarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygenericsggplot2globalsgluegowergridExtragtablehardhathighrHmischtmlTablehtmltoolshtmlwidgetsipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixMatrixModelsmemoisemetsmgcvmimeModelMetricsmultcompmunsellmvtnormnlmennetnumDerivparallellypecpillarpkgconfigplotrixplyrpolsplinepROCprodlimprogressrproxyPublishpurrrquantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenrecipesreshape2riskRegressionrlangrmarkdownrmsrpartrstudioapisandwichsassscalesshapeSparseMSQUAREMstatmodstringistringrsurvivalTH.datatibbletidyrtidyselecttimechangetimeDatetimeregtimeROCtinytextzdbutf8vctrsviridisviridisLitewithrxfunyamlzoo