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RobustAFT (version 1.4-7)

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

Description

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

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Version

Install

install.packages('RobustAFT')

Monthly Downloads

235

Version

1.4-7

License

GPL (>= 2)

Maintainer

A. Randriamiharisoa

Last Published

August 21st, 2023

Functions in RobustAFT (1.4-7)

MCI

Sample of 75 Hospital Stays
TML1.noncensored.control.S

Control parameters for S-estimate of location and scale
Z243

Sample of 100 hospital stays for medical back problems
predict.TML

Predict method for "TML" objects
summary.TML

Summarizing Truncated Maximum Likelihood regression
RobustAFT-package

Robust Accelerated Failure Time Model Fitting
TML.noncensored.control

Control Parameters for Truncated Maximum Likelihood Regression Without Censored Observations
plot.fits.compare

Plot Method for "fits.compare" objects
TML.noncensored

Truncated Maximum Likelihood Regression Without Censored Observations
TML1.noncensored.control

Control Parameters forTruncated Maximum Likelihood Estimation of Location and Scale
TML1.noncensored

Truncated Maximum Likelihood Estimates of Location and Scale
TML.censored.control.S

Control parameters for the computation of the initial S estimates in TML.censored
TML.censored.control.tml

Control parameters for the IRLS algorithm of the final TML.censored estimates
TML.censored

Truncated Maximum Likelihood Regression With Censored Observations
TML.censored.control.ref

Control parameters for the refinement IRLS algorithm of the TML.censored initial S-estimates
plot.TML

Plot Method for "TML" objects
D243

Sample of 100 hospital stays for medical back problems
fits.compare

Numerical comparison of several fits
RobustAFT-internal

Internal
dfcomn2

Assigns values to the ROBETH parameters included in common blocks