residuals.SMNclmm

The conditional residuals are obtained by subtracting the fitted values from the response vector, while the marginal residuals are obtained by subtracting only the fixed effects from the response vector.
Censored values are imputed using their conditional expectation from the fitting algorithm.

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

residuals.SMNclmm function

<dl> <dt>object</dt>
<dd>An object inheriting from class <code>SMNclmm</code>, representing
 a fitted scale mixture of normal censored linear mixed model.</dd> <dt>level</dt>
<dd>Either <code>"conditional"</code>, for obtaining conditional residuals, or <code>"marginal"</code>, for marginal residuals.</dd> <dt>...</dt>
<dd>Additional arguments.</dd></dl>

Arguments

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

Author

Extract model residuals from smn.clmm objects
   — residuals.SMNclmm

<dl>

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

 <dt>level</dt>
<dd>Either <code>"conditional"</code>, for obtaining conditional residuals, or <code>"marginal"</code>, for marginal residuals.</dd>

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

</dl>

residuals.SMNclmm: Extract model residuals from smn.clmm objects

Description

Usage

Value

Arguments

Author

See Also