WaldMult

This function provides multivariate and univariate Wald tests for
combinations of parameters from <code>hlme</code>, <code>lcmm</code>, <code>multlcmm</code>,
<code>Jointlcmm</code> or <code>mpjlcmm</code> models.

Estimation of various extensions of the mixed models including latent class mixed models, joint latent class mixed models, mixed models for curvilinear outcomes, mixed models for multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) <doi:10.18637/jss.v078.i02>).

Cecile Proust-Lima

lcmm

Extended Mixed Models Using Latent Classes and Latent Processes

Viviane Philipps

Amadou Diakite

Benoit Liquet

Alan Genz

John Burkardt

WaldMult function

<dl><dt>Mod</dt>
<dd>an object of class <code>hlme</code>, <code>lcmm</code>, <code>multlcmm</code>,
<code>Jointlcmm</code> or <code>mpjlcmm</code></dd>
<dt>pos</dt>
<dd>a vector containing the indices in <code>Mod$best</code> of the parameters to
test</dd>
<dt>contrasts</dt>
<dd>a numeric vector of same length as pos. If NULL (the
default), a simultaneous test of the appropriate parameters is realised. If
contrasts is specified, the quantity to test is the dot product of pos and
contrasts.</dd>
<dt>name</dt>
<dd>a character containing the name the user wants to give to the
test. By default, the name's test is the null hypothesis.</dd>
<dt>value</dt>
<dd>the value(s) to test against. By default, test against 0.</dd></dl>

Arguments

Cecile Proust-Lima, Lionelle Nkam and Viviane Philipps

Author

Multivariate Wald Test — WaldMult

<dl>

<dt>Mod</dt>
<dd>an object of class <code>hlme</code>, <code>lcmm</code>, <code>multlcmm</code>,
<code>Jointlcmm</code> or <code>mpjlcmm</code></dd>


<dt>pos</dt>
<dd>a vector containing the indices in <code>Mod$best</code> of the parameters to
test</dd>


<dt>contrasts</dt>
<dd>a numeric vector of same length as pos. If NULL (the
default), a simultaneous test of the appropriate parameters is realised. If
contrasts is specified, the quantity to test is the dot product of pos and
contrasts.</dd>


<dt>name</dt>
<dd>a character containing the name the user wants to give to the
test. By default, the name's test is the null hypothesis.</dd>


<dt>value</dt>
<dd>the value(s) to test against. By default, test against 0.</dd>

</dl>

WaldMult: Multivariate Wald Test

Description

Usage

Value

Arguments

Author