print.glmmML

digits

na.print

<p>Additional parameters, which are ignored.</p>

&#8230;

<p>A glmmML object is the output of <code>glmmML</code>.</p>

print

Sampling of risk sets in Cox regression, selections in
the Lexis diagram, bootstrapping. Parametric proportional
hazards fitting with left truncation and right censoring for
common families of distributions, piecewise constant hazards,
and discrete models. AFT regression for left truncated and
right censored data. Binary and Poisson regression for
clustered data, fixed and random effects with bootstrapping.

print.glmmML: Prints a 'glmmML' object.

Description

Usage

Arguments

Value

Details

See Also