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gamboostMSM

R package gamboostMSM: Estimating multistate models using gamboost(). Provides features to use function gamboost() from package mboost for estimation of multistate models

Keywords for this software

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  • R package
  • arXiv_publication
  • survival analysis
  • multi-state survival analysis
  • regularised Cox model
  • semi-competing risks
  • multi-state models
  • arXiv_stat.ME
  • cross-transition-type effects
  • stat.CO
  • model choice
  • Semi-Competing Risks Data
  • multistate models
  • state occupation probabilities
  • empirical Bayes
  • Hierarchical Models
  • boosting
  • illness-death models
  • variable selection
  • R
  • arXiv_stat.CO
  • nonlinear effects
  • CRAN

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Holger Reulen
  • Dependencies: R

  • Add information on this software.


  • Related software:
  • mstate
  • R
  • msm
  • mboost
  • survival
  • SemiMarkov
  • mvna
  • SemiCompRisks
  • penMSM
  • SMM
  • Show more...
  • TPmsm
  • msSurv
  • tdc.msm
  • ebmstate
  • flexsurv
  • frailtypack
  • p3state.msm
  • CRAN
  • Show less...

References in zbMATH (referenced in 3 articles )

Showing results 1 to 3 of 3.
y Sorted by year (citations)

  1. Rui J. Costa, Moritz Gerstung: The R package ebmstate for disease progression analysis under empirical Bayes Cox models (2022) arXiv
  2. Danilo Alvares, Sebastien Haneuse, Catherine Lee, Kyu Ha Lee: SemiCompRisks: An R Package for Independent and Cluster-Correlated Analyses of Semi-Competing Risks Data (2018) arXiv
  3. Reulen, Holger; Kneib, Thomas: Boosting multi-state models (2016)

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  • MSC classification / top
    • Top MSC classes
      • 62 Statistics
      • 65 Numerical analysis

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