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ICsurv

R package ICsurv: A package for semiparametric regression analysis of interval-censored data. Currently using the proportional hazards (PH) model. More methods under other semiparametric regression models will be included in later versions.

Keywords for this software

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  • R package
  • survival analysis
  • Journal of Statistical Software
  • accelerated failure time
  • illness-death model
  • M splines
  • Markov chain Monte Carlo
  • proportional hazards
  • support vector regression
  • conditional quantile function
  • distribution regression
  • transformation model
  • case II interval-censored data
  • survival model
  • non-parametric
  • kernel machines
  • interval-censored data
  • semi-parametric regression
  • Weibull
  • censoring
  • transformation analysis
  • smooth transition intensities
  • truncation
  • odds
  • interval censoring
  • penalized likelihood
  • conditional distribution function
  • universal consistency
  • proportional odds
  • left-truncated data

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Christopher S. McMahan; Lianming Wang
  • Dependencies: R

  • Add information on this software.


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References in zbMATH (referenced in 5 articles )

Showing results 1 to 5 of 5.
y Sorted by year (citations)

  1. Travis-Lumer, Yael; Goldberg, Yair: Kernel machines for current status data (2021)
  2. Torsten Hothorn: Most Likely Transformations: The mlt Package (2020) not zbMATH
  3. Wu, Yuh-Jenn; Fang, Wei-Quan; Cheng, Li-Hsueh; Chu, Kai-Chi; Shih, Yin-Tzer; Chien, Li-Chu: A flexible Bayesian non-parametric approach for fitting the odds to case II interval-censored data (2018)
  4. Célia Touraine and Thomas Gerds and Pierre Joly: SmoothHazard: An R Package for Fitting Regression Models to Interval-Censored Observations of Illness-Death Models (2017) not zbMATH
  5. Clifford Anderson-Bergman: icenReg: Regression Models for Interval Censored Data in R (2017) not zbMATH

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      • 62 Statistics
      • 68 Computer science

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