confint.mlmm

Compute confidence intervals for several linear mixed models.

methods

Companion R package for the course "Statistical analysis of correlated and repeated measurements for health science researchers"
taught by the section of Biostatistics of the University of Copenhagen.
It implements linear mixed models where the model for the variance-covariance of the residuals is specified via patterns (compound symmetry, toeplitz, unstructured, ...).
Statistical inference for mean, variance, and correlation parameters is performed based on the observed information and a Satterthwaite approximation of the degrees of freedom.
Normalized residuals are provided to assess model misspecification.
Statistical inference can be performed for arbitrary linear or non-linear combination(s) of model coefficients.
Predictions can be computed conditional to covariates only or also to outcome values.

Brice Ozenne

LMMstar

Repeated Measurement Models for Discrete Times

Julie Forman

confint.mlmm function

<dl><dt>object</dt>
<dd>an <code>mlmm</code> object, output of <code>mlmm</code>.</dd>
<dt>parm</dt>
<dd>Not used. For compatibility with the generic method.</dd>
<dt>level</dt>
<dd>[numeric,0-1] the confidence level of the confidence intervals.</dd>
<dt>method</dt>
<dd>[character] type of adjustment for multiple comparisons: one of <code>"none"</code>, <code>"bonferroni"</code>, <code>"single-step"</code>, <code>"single-step2"</code>, or <code>"pool"</code>.</dd>
<dt>ordering</dt>
<dd>[character] should the output be ordered by type of parameter (<code>parameter</code>) or by model (<code>by</code>).
Only relevant for <code>mlmm</code> objects.</dd>
<dt>...</dt>
<dd>other arguments are passed to <code>confint.Wald_lmm</code>.</dd></dl>

Arguments

Confidence Intervals for Multiple Linear Mixed Model. — confint.mlmm

<dl>

<dt>object</dt>
<dd>an <code>mlmm</code> object, output of <code>mlmm</code>.</dd>


<dt>parm</dt>
<dd>Not used. For compatibility with the generic method.</dd>


<dt>level</dt>
<dd>[numeric,0-1] the confidence level of the confidence intervals.</dd>


<dt>method</dt>
<dd>[character] type of adjustment for multiple comparisons: one of <code>"none"</code>, <code>"bonferroni"</code>, <code>"single-step"</code>, <code>"single-step2"</code>, or <code>"pool"</code>.</dd>


<dt>ordering</dt>
<dd>[character] should the output be ordered by type of parameter (<code>parameter</code>) or by model (<code>by</code>).
Only relevant for <code>mlmm</code> objects.</dd>


<dt>...</dt>
<dd>other arguments are passed to <code>confint.Wald_lmm</code>.</dd>

</dl>

confint.mlmm: Confidence Intervals for Multiple Linear Mixed Model.

Description

Usage

Arguments

Details

References