Package: RobustAFT 1.4-7

A. Randriamiharisoa

RobustAFT: Truncated Maximum Likelihood Fit and Robust Accelerated Failure Time Regression for Gaussian and Log-Weibull Case

R functions for the computation of the truncated maximum likelihood and the robust accelerated failure time regression for gaussian and log-Weibull case.

Authors:Alfio Marazzi <[email protected]>, Jean-Luc Muralti

RobustAFT_1.4-7.tar.gz
RobustAFT_1.4-7.tar.gz(r-4.5-noble)RobustAFT_1.4-7.tar.gz(r-4.4-noble)
RobustAFT_1.4-7.tgz(r-4.4-emscripten)RobustAFT_1.4-7.tgz(r-4.3-emscripten)
RobustAFT.pdf |RobustAFT.html✨
RobustAFT/json (API)

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

Peer review:

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • D243 - Sample of 100 hospital stays for medical back problems
  • MCI - Sample of 75 Hospital Stays
  • Z243 - Sample of 100 hospital stays for medical back problems

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

1.30 score 20 scripts 271 downloads 14 exports 5 dependencies

Last updated 1 years agofrom:357b7400ae. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-linux-x86_64OKNov 13 2024

Exports:dfcomn2fits.compareNrm2s.eq.GaussS.eq.GaussTML.censoredTML.censored.control.refTML.censored.control.STML.censored.control.tmlTML.gaussTML.noncensoredTML.noncensored.controlTML1.noncensoredTML1.noncensored.control

Dependencies:DEoptimRlatticeMatrixrobustbasesurvival

Readme and manuals

Help Manual

Help pageTopics
Robust Accelerated Failure Time Model FittingRobustAFT-package RobustAFT
Sample of 100 hospital stays for medical back problemsD243
Assigns values to the ROBETH parameters included in common blocksdfcomn2
Numerical comparison of several fitsfits.compare print.fits.compare
Sample of 75 Hospital StaysMCI
Plot Method for "fits.compare" objectsplot.fits.compare
Plot Method for "TML" objectsplot.TML
Predict method for "TML" objectspredict.TML
Summarizing Truncated Maximum Likelihood regressioncoef.TML print.summary.TML print.TML summary.TML vcov.TML
Truncated Maximum Likelihood Regression With Censored ObservationsTML.censored
Control parameters for the refinement IRLS algorithm of the TML.censored initial S-estimatesTML.censored.control.ref
Control parameters for the computation of the initial S estimates in TML.censoredTML.censored.control.S
Control parameters for the IRLS algorithm of the final TML.censored estimatesTML.censored.control.tml
Truncated Maximum Likelihood Regression Without Censored ObservationsTML.noncensored
Control Parameters for Truncated Maximum Likelihood Regression Without Censored ObservationsTML.noncensored.control
Truncated Maximum Likelihood Estimates of Location and ScaleTML1.noncensored
Control Parameters forTruncated Maximum Likelihood Estimation of Location and ScaleTML1.noncensored.control
Control parameters for S-estimate of location and scaleTML1.noncensored.control.S
Sample of 100 hospital stays for medical back problemsZ243