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aftsem (version 1.0)

Semiparametric Accelerated Failure Time Model

Description

Implements several basic algorithms for estimating regression parameters for semiparametric accelerated failure time (AFT) model. The main methods are: Jin rank-based method (Jin (2003) ), Heller’s estimating method (Heller (2012) ), Polynomial smoothed Gehan function method (Chung (2013) ), Buckley-James method (Buckley (1979) ) and Jin`s improved least squares method (Jin (2006) ). This package can be used for modeling right-censored data and for comparing different estimation algorithms.

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Install

install.packages('aftsem')

Monthly Downloads

340

Version

1.0

License

GPL (>= 3)

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Maintainer

Martin Benedikt

Last Published

September 15th, 2024

Functions in aftsem (1.0)

aftsem-package

tools:::Rd_package_title("aftsem")
gehan_estimation

Gehan's Estimation for Survival Data
gehan_poly_estimation

Estimation of Regression Parameters from Smoothed Gehan Function
print.aftsem

Print method for aftsem xs
aftsem.control

Control list for package
aftsem

Accelerated Failure Time Semiparametric Model
print.summaryaftsem

Print method for objects of class `summaryaftsem`
gehan_heller_estimation

Gehan-Heller Estimation of regression parameters
aftsem_fit

Semi-parametric AFT Model Fitting
summary.aftsem

Summary function for aftsem package