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RobustAFT  

Truncated Maximum Likelihood Fit and Robust Accelerated Failure Time Regression for Gaussian and Log-Weibull Case
View on CRAN: Click here


Download and install RobustAFT package within the R console
Install from CRAN:
install.packages("RobustAFT")

Install from Github:
library("remotes")
install_github("cran/RobustAFT")

Install by package version:
library("remotes")
install_version("RobustAFT", "1.4-7")



Attach the package and use:
library("RobustAFT")
Maintained by
A. Randriamiharisoa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-08-24
Latest Update: 2023-08-21
Description:
R functions for the computation of the truncated maximum likelihood and the robust accelerated failure time regression for gaussian and log-Weibull case.
How to cite:
A. Randriamiharisoa (2011). RobustAFT: Truncated Maximum Likelihood Fit and Robust Accelerated Failure Time Regression for Gaussian and Log-Weibull Case. R package version 1.4-7, https://cran.r-project.org/web/packages/RobustAFT. Accessed 27 Jan. 2025.
Previous versions and publish date:
1.0 (2011-08-24 19:19), 1.2 (2013-06-20 18:08), 1.3 (2014-11-06 12:22), 1.4-1 (2015-12-08 13:02), 1.4-2 (2018-05-25 17:32), 1.4-3 (2018-06-25 11:13), 1.4-4 (2019-07-18 12:52), 1.4-5 (2020-03-06 10:30), 1.4-6 (2023-06-19 19:50)
Other packages that cited RobustAFT R package
View RobustAFT citation profile
Other R packages that RobustAFT depends, imports, suggests or enhances
Complete documentation for RobustAFT
Functions, R codes and Examples using the RobustAFT R package
Some associated functions: D243 . RobustAFT-internal . RobustAFT-package . TML1.noncensored.control.S . TML1.noncensored . Z243 . dfcomn2 . 
Some associated R codes: AV.MM.gauss.R . AveS20w.R . AveS21w.R . AveS2Pw.R . Beta.n.R . Beta.w.R . Chi2phi.R . Chiphi.R . Chiphi.n.R . Chiphi.w.R . Chipzphi.R . Cov.LogW.R . Cov2.n.R . Cov2.n1.R . Cov2.w.R . Cov2.w1.R . CovE.n.R . CovE.n1.R . CovE.w.R . CovE.w1.R . Discr.R . E.Smat.R . E.Smat.n.R . E0.vect.R . E0.vect.n.R . E0vect.R . E0vect.n.R . E1vect.R . E1vect.n.R . E2vect.R . E2vect.n.R . F0w.R . F0w.s.R . Fxdv.R . Izero.R . MLn1.R . MLnp.R . MLw1.R . MLwp.R . MM.E.gauss.R . MM.E.null.R . Nwtv.R . Psi2phi.R . Psiphi.w.R . Psizphi.n.R . Psizphi.w.R . Pspphi.R . Pspphi.n.R . Pspphi.w.R . Pspzphi.w.R . Q1mat.R . Q1mat.n.R . Q2vect.R . Q2vect.n.R . Q3sca.R . Q3sca.n.R . Qn.R . Scalen.R . Scalew.R . TML.censored.R . TML.censored.control.S.R . TML.censored.control.ref.R . TML.censored.control.tml.R . TML.gauss.R . TML.logweibull.R . TML.noncensored.R . TML.noncensored.control.R . TML1.control.R . TML1.noncensored.R . TML1.noncensored.control.R . TML1.noncensored.control.S.R . TMLjac22.W.R . adaptn.R . adaptw.R . chi.R . chi.weight.R . chi_1.R . comval.R . dfcomn2.R . dfvals.R . ezez.R . fits.compare.R . hysestz.R . intmew.R . invM2.n.R . invM2.n1.R . invM2.w.R . invM2.w1.R . liepsu.R . lywalg.R . messagena.R . pezez.R . plot.TML.R . plot.fits.compare.R . print.TML.R . print.fits.compare.R . print.summary.TML.R . psi.R . psi.weight.R . psi_1.R . psp.R . psp.weight.R . psp_1.R . rho.R . rho.weight.R . rho_1.R . rhow.R . rysigm.R . rywalg.R . s.eq.Gauss.R . s.eq.logW.R . s.estim.R . s1chiphi.w.R . s1phi.w.R . s1pphi.w.R . s1psiphi.n.R . s1psiphi.w.R . s1pzphi.w.R . s1s1phi.n.R . s1s1phi.w.R . s1s2phi.w.R . s2chiphi.n.R . s2chiphi.w.R . s2phi.n.R . s2phi.w.R . s2pphi.w.R . s2psiphi.w.R . s2pzphi.w.R . s2s2phi.n.R . s2s2phi.w.R . scale.estimate.R . scale.estimate.lm.R . summary.TML.R . tChiw.R . tChiww.R . tPsin.R . tPsiw.R . to.character.R . to.double.R . to.integer.R . to.single.R . tutl.R . uf0w.R . zez.R .  Full RobustAFT package functions and examples
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