print.summary.survstan

Produces a printed summary of a fitted survstan model.

Parametric survival regression models under the maximum likelihood approach via 'Stan'. Implemented regression models include accelerated failure time models, proportional hazards models, proportional odds models, accelerated hazard models, Yang and Prentice models, and extended hazard models. Available baseline survival distributions include exponential, Weibull, log-normal, log-logistic, gamma, generalized gamma, rayleigh, Gompertz and fatigue (Birnbaum-Saunders) distributions. References: Lawless (2002) <ISBN:9780471372158>; Bennett (1982) <doi:10.1002/sim.4780020223>; Chen and Wang(2000) <doi:10.1080/01621459.2000.10474236>; Demarqui and Mayrink (2021) <doi:10.1214/20-BJPS471>.

Fabio Demarqui

survstan

Fitting Survival Regression Models via 'Stan'

Andrew Johnson

print.summary.survstan function

<dl><dt>x</dt>
<dd>an object of the class summary.survstan.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Print the summary.survstan output — print.summary.survstan

<dl>

<dt>x</dt>
<dd>an object of the class summary.survstan.</dd>


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

</dl>

print.summary.survstan: Print the summary.survstan output

Description

Usage

Value

Arguments