mahalDistCens

Returns the squared Mahalanobis distance from a fitted SMN-CLMM. 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

mahalDistCens 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></dl>

Arguments

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

Author

Mahalanobis distance from a smn.clmm object
   — mahalDistCens

<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>

</dl>

mahalDistCens: Mahalanobis distance from a smn.clmm object

Description

Usage

Value

Arguments

Author

References

See Also