summary.SMNclmm

<code>summary</code> method for class "SMNclmm".

models

It fits scale mixture of skew-normal linear mixed models using either an expectation–maximization (EM) type algorithm or its accelerated version (Damped Anderson Acceleration with Epsilon Monotonicity, DAAREM), including some possibilities for modeling the within-subject dependence <doi:10.18637/jss.v115.i07>.

Fernanda L Schumacher

skewlmm

Scale Mixture of Skew-Normal Linear Mixed Models

Fernanda L. Schumacher

Larissa A. Matos

Victor H. Lachos

Katherine A. L. Valeriano

Nicholas Henderson

Ravi Varadhan

summary.SMNclmm function

<dl> <dt>object</dt>
<dd>An object inheriting from class <code>SMNclmm</code>,
 representing a fitted scale mixture normal linear mixed model with censored responses.</dd> <dt>confint.level</dt>
<dd>Level of the approximate confidence intervals presented.</dd> <dt>...</dt>
<dd>Additional arguments.</dd></dl>

Arguments

Fernanda L. Schumacher, Larissa A. Matos, Victor H. Lachos and Katherine L. Valeriano

Author

Summary of a smn.clmm object
   — summary.SMNclmm

<dl>

 <dt>object</dt>
<dd>An object inheriting from class <code>SMNclmm</code>,
 representing a fitted scale mixture normal linear mixed model with censored responses.</dd>

 <dt>confint.level</dt>
<dd>Level of the approximate confidence intervals presented.</dd>

 <dt>...</dt>
<dd>Additional arguments.</dd>

</dl>

summary.SMNclmm: Summary of a smn.clmm object

Description

Usage

Arguments

Author

See Also