survregpredict

Fit survival probabilties from a survreg object.

Proportional hazards estimation in the presence of a partially monotone likelihood has difficulties, in that finite estimators do not exist.  These difficulties are related to those arising from logistic and multinomial regression.  References for methods are given in the separate function documents.  Supported by grant NSF DMS 1712839.

John E Kolassa

PHInfiniteEstimates

Tools for Inference in the Presence of a Monotone Likelihood

survregpredict function

<dl><dt>fit</dt>
<dd>a survreg object. This should not contain strata(). It also must use the log transformation.</dd>
<dt>newdata</dt>
<dd>a new data set with covariates from the fit.</dd>
<dt>time</dt>
<dd>a time value (on the original, and not log, scale).</dd></dl>

Arguments

Fit survival probabilties from a survreg object. — survregpredict

<dl>

<dt>fit</dt>
<dd>a survreg object. This should not contain strata(). It also must use the log transformation.</dd>


<dt>newdata</dt>
<dd>a new data set with covariates from the fit.</dd>


<dt>time</dt>
<dd>a time value (on the original, and not log, scale).</dd>

</dl>

survregpredict: Fit survival probabilties from a survreg object.

Description

Usage

Arguments

Examples