Package: smoothSurv 2.6

Arnošt Komárek

smoothSurv: Survival Regression with Smoothed Error Distribution

Contains, as a main contribution, a function to fit a regression model with possibly right, left or interval censored observations and with the error distribution expressed as a mixture of G-splines. Core part of the computation is done in compiled 'C++' written using the 'Scythe' Statistical Library Version 0.3.

Authors:Arnošt Komárek [aut, cre], Kevin M. Quinn [ctb, cph], Andrew D. Martin [ctb, cph], Daniel B. Pemstein [ctb, cph], Berwin A. Turlach [ctb]

smoothSurv_2.6.tar.gz
smoothSurv_2.6.tar.gz(r-4.5-noble)smoothSurv_2.6.tar.gz(r-4.4-noble)
smoothSurv_2.6.tgz(r-4.4-emscripten)smoothSurv_2.6.tgz(r-4.3-emscripten)
smoothSurv.pdf |smoothSurv.html✨
smoothSurv/json (API)
NEWS

# Install 'smoothSurv' in R:
install.packages('smoothSurv', repos = 'https://cloud.r-project.org')
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.78 score 2 packages 895 downloads 20 exports 3 dependencies

Last updated 1 years agofrom:b95963cf3b. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-linux-x86_64OKMar 08 2025
R-4.4-linux-x86_64OKMar 08 2025

Exports:a2cc2aderivative.cc3derivative.expADdextremedstextremedstlogisestimTdiffeval.Gsplinefdensityfind.cgive.chazardminPenaltyMP.pseudoinvpiecesmoothSurvRegsmoothSurvReg.controlsmoothSurvReg.fitstd.data

Dependencies:latticeMatrixsurvival

Citation

To cite package smoothSurv in publications, please, use either of the following articles:

Komárek A, Lesaffre E, Hilton JF (2005). “Accelerated failure time model for arbitrarily censored data with smoothed error distribution.” Journal of Computational and Graphical Statistics, 14(3), 726–745. doi:10.1198/106186005X63734.

Lesaffre E, Komárek A, Declerck D (2005). “An overview of methods for interval-censored data with an emphasis on applications in dentistry.” Statistical Methods in Medical Research, 14(6), 539–552. doi:10.1191/0962280205sm417oa.

Corresponding BibTeX entries: 

  @Article{,
    title = {Accelerated failure time model for arbitrarily censored
      data with smoothed error distribution},
    author = {Arnošt Komárek and Emmanuel Lesaffre and Joan F. Hilton},
    journal = {Journal of Computational and Graphical Statistics},
    year = {2005},
    volume = {14},
    number = {3},
    pages = {726--745},
    doi = {10.1198/106186005X63734},
  }

  @Article{,
    title = {An overview of methods for interval-censored data with an
      emphasis on applications in dentistry},
    author = {Emmanuel Lesaffre and Arnošt Komárek and Dominique
      Declerck},
    journal = {Statistical Methods in Medical Research},
    year = {2005},
    volume = {14},
    number = {6},
    pages = {539--552},
    doi = {10.1191/0962280205sm417oa},
  }