print.summaryaftsem

Print method for objects of class `summaryaftsem`

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) <doi:10.1093/biomet/90.2.341>), Heller’s estimating method (Heller (2012) <doi:10.1198/016214506000001257>), Polynomial smoothed Gehan function method (Chung (2013) <doi:10.1007/s11222-012-9333-9>), Buckley-James method (Buckley (1979) <doi:10.2307/2335161>) and Jin`s improved least squares method (Jin (2006) <doi:10.1093/biomet/93.1.147>). This package can be used for modeling right-censored data and for comparing different estimation algorithms.

Martin Benedikt

aftsem

Semiparametric Accelerated Failure Time Model

print.summaryaftsem function

<dl><dt>x</dt>
<dd>An object of class `summaryaftsem`</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Print method for objects of class `summaryaftsem` — print.summaryaftsem

<dl>

<dt>x</dt>
<dd>An object of class `summaryaftsem`</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>

</dl>

print.summaryaftsem: Print method for objects of class `summaryaftsem`

Description

Usage

Value

Arguments