Package: RobustAFT 1.4-10

Alex 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 [aut], Jean-Luc Muralti [aut], Alex Randriamiharisoa [cre]

RobustAFT_1.4-10.tar.gz
RobustAFT_1.4-10.tar.gz(r-4.7-arm64)RobustAFT_1.4-10.tar.gz(r-4.7-x86_64)RobustAFT_1.4-10.tar.gz(r-4.6-arm64)RobustAFT_1.4-10.tar.gz(r-4.6-x86_64)
RobustAFT_1.4-10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RobustAFT/json (API)

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

On CRAN:

Conda:

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

fortran

1.38 score 24 scripts 311 downloads 14 exports 9 dependencies

Last updated from:970e8b503d. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK127
linux-devel-x86_64OK138
source / vignettesOK178
linux-release-arm64OK135
linux-release-x86_64OK144
wasm-releaseOK107

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:curlDEoptimRjsonlitelatticeMatrixRcpprobustbasesurvivalV8

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