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Muhaz

R package muhaz: Hazard Function Estimation in Survival Analysis. A package for producing a smooth estimate of the hazard function for censored data.

Keywords for this software

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  • R package
  • Journal of Statistical Software
  • R
  • survival analysis
  • nonparametric estimation
  • relational events
  • cumulative incidence function
  • prediction
  • nonparametric
  • compartmental model
  • JSS_publication
  • multi-state models
  • presmoothing
  • longitudinal data
  • improper distribution
  • conditional quantile function
  • multistate model
  • distribution regression
  • relevent
  • transformation model
  • Monte Carlo simulation
  • race model
  • semi-parametric models
  • observational data
  • human information processing
  • mental architecture
  • multistate models
  • capacity coefficient
  • competing risks
  • survival

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: K. Hess; R. Gentleman
  • Dependencies: R

  • Add information on this software.


  • Related software:
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  • relevent
  • BB
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  • variables
  • bshazard
  • survivalMPL
  • TransModel
  • polspline
  • ordinal
  • TH.data
  • Show less...

References in zbMATH (referenced in 9 articles )

Showing results 1 to 9 of 9.
y Sorted by year (citations)

  1. Pullenayegum, Eleanor M.: Meeting the assumptions of inverse-intensity weighting for longitudinal data subject to irregular follow-up: suggestions for the design and analysis of clinic-based cohort studies (2020)
  2. Torsten Hothorn: Most Likely Transformations: The mlt Package (2020) not zbMATH
  3. Christopher Jackson: flexsurv: A Platform for Parametric Survival Modeling in R (2016) not zbMATH
  4. Haile, S. R.; Jeong, J.-H.; Chen, X.; Cheng, Y.: A 3-parameter Gompertz distribution for survival data with competing risks, with an application to breast cancer data (2016)
  5. Christopher Marcum; Carter Butts: Constructing and Modifying Sequence Statistics for relevent Using informR in R (2015) not zbMATH
  6. Nello Blaser; Luisa Vizcaya; Janne Estill; Cindy Zahnd; Bindu Kalesan; Matthias Egger; Thomas Gsponer; Olivia Keiser: gems: An R Package for Simulating from Disease Progression Models (2015) not zbMATH
  7. Ignacio López-de-Ullibarri; M. Amalia Jácome: survPresmooth: An R Package for Presmoothed Estimation in Survival Analysis (2013) not zbMATH
  8. Houpt, Joseph W.; Townsend, James T.: Statistical measures for workload capacity analysis (2012)
  9. Bouezmarni, T.; El Ghouch, A.; Mesfioui, M.: Gamma kernel estimators for density and hazard rate of right-censored data (2011)

  • Article statistics & filter:

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  • MSC classification / top
    • Top MSC classes
      • 62 Statistics
      • 91 Game theory, economics,...
      • 92 Applications of...

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