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.

Mixed Effects Cox Models

package-ubuntu-20.04-r-4.0.5#cran#coxme-2.2-16

<p>The <code>VarCorr</code> method is imported from package <span class="pkg">nlme</span>.
Help is available here:  <code><a href="../../nlme/html/VarCorr.html">nlme::VarCorr</a></code>.
</p>

package-ubuntu-20.04-r-4.0.5#cran#coxme-2.2-16#docs#VarCorr

VarCorr

Description

coxme

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