terms.lmm

Model terms for linear mixed models. Used by <code>multcomp::glht</code>.

interface

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

terms.lmm function

<dl><dt>x</dt>
<dd>a <code>lmm</code> object</dd>
<dt>...</dt>
<dd>not used, for compatibility with the generic method.</dd></dl>

Arguments

Model Terms For Linear Mixed Models — terms.lmm

<dl>

<dt>x</dt>
<dd>a <code>lmm</code> object</dd>


<dt>...</dt>
<dd>not used, for compatibility with the generic method.</dd>

</dl>

terms.lmm: Model Terms For Linear Mixed Models

Description

Usage

Value

Arguments