predict.coxme

Return predicted values from a coxme fit.

survival

Fit Cox proportional hazards models containing both
fixed and random effects.  The random effects can have a general form, of which
familial interactions (a "kinship" matrix) is a particular special case.
Note that the simplest case of a mixed effects Cox model, i.e. a single random
per-group intercept, is also called a "frailty" model.  The approach is based
on Ripatti and Palmgren, Biometrics 2002.

Terry Therneau

coxme

Mixed Effects Cox Models

predict.coxme function

<dl> <dt>object</dt>
<dd>an object of class <code>coxme</code>, 
 from the fit of a mixed effects survival model</dd> <dt>newdata</dt>
<dd>new data set, not yet supported</dd> <dt>type</dt>
<dd>type of prediction</dd> <dt>...</dt>
<dd>arguments for other methods</dd></dl>

Arguments

Predictions for a coxme object. — predict.coxme

<dl>

 <dt>object</dt>
<dd>an object of class <code>coxme</code>, 
 from the fit of a mixed effects survival model</dd>

 <dt>newdata</dt>
<dd>new data set, not yet supported</dd>

 <dt>type</dt>
<dd>type of prediction</dd>

 <dt>...</dt>
<dd>arguments for other methods</dd>

</dl>

predict.coxme: Predictions for a coxme object.

Description

Usage

Value

Arguments

See Also