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

Print out the result of an lmekin fit.

## S3 method for class 'lmekin'
print(x, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
an object of class <code>lmekin</code>.
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
generic arguments to print, unused.
</td>
</tr>
</table>

The print function current has no options. This should one day improve.

<code><a href="lmekin.html">lmekin</a></code>

package-ubuntu-20.04-r-4.0.5#cran#coxme-2.2-16#docs#print.lmekin

`x`	an object of class `lmekin`.
`...`	generic arguments to print, unused.

print.lmekin

Description

Usage

Arguments

Details

Author(s)

See Also

coxme

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