merge.estimate

A general implementation of Structural Equation Models
with latent variables (MLE, 2SLS, and composite likelihood
estimators) with both continuous, censored, and ordinal
outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>).
Mixture latent variable models and non-linear latent variable models
(Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>).
The package also provides methods for graph exploration (d-separation,
back-door criterion), simulation of general non-linear latent variable
models, and estimation of influence functions for a broad range of
statistical models.

Klaus Holst

lava

Latent Variable Models

Klaus K. Holst

Benedikt Sommer

Brice Ozenne

Thomas Gerds

merge.estimate function

<dl><dt>x</dt>
<dd>Object of class <code>estimate</code></dd>
<dt>y</dt>
<dd>Object of class <code>estimate</code></dd>
<dt>...</dt>
<dd>Additional <code>estimate</code> objects or arguments</dd>
<dt>id</dt>
<dd>Optional cluster variable</dd>
<dt>paired</dt>
<dd>If TRUE a paired (matched) analysis is performed</dd>
<dt>labels</dt>
<dd>Optional character vector of labels for the merged estimates</dd>
<dt>keep</dt>
<dd>Optional character vector of parameter names to keep</dd>
<dt>subset</dt>
<dd>Optional character vector of parameter names to subset</dd>
<dt>regex</dt>
<dd>If TRUE, <code>keep</code> and <code>subset</code> are treated as regular expressions</dd>
<dt>sep</dt>
<dd>Separator used for labeling</dd>
<dt>drop.ic</dt>
<dd>If TRUE, drop the influence function from the result</dd>
<dt>ignore.case</dt>
<dd>If TRUE, case is ignored in <code>keep</code>/<code>subset</code> matching</dd>
<dt>sort</dt>
<dd>if true the returned influence function will be sorted according
to the id variables (lexigraphically)</dd></dl>

Arguments

Merge estimate objects — merge.estimate

<dl>

<dt>x</dt>
<dd>Object of class <code>estimate</code></dd>


<dt>y</dt>
<dd>Object of class <code>estimate</code></dd>


<dt>...</dt>
<dd>Additional <code>estimate</code> objects or arguments</dd>


<dt>id</dt>
<dd>Optional cluster variable</dd>


<dt>paired</dt>
<dd>If TRUE a paired (matched) analysis is performed</dd>


<dt>labels</dt>
<dd>Optional character vector of labels for the merged estimates</dd>


<dt>keep</dt>
<dd>Optional character vector of parameter names to keep</dd>


<dt>subset</dt>
<dd>Optional character vector of parameter names to subset</dd>


<dt>regex</dt>
<dd>If TRUE, <code>keep</code> and <code>subset</code> are treated as regular expressions</dd>


<dt>sep</dt>
<dd>Separator used for labeling</dd>


<dt>drop.ic</dt>
<dd>If TRUE, drop the influence function from the result</dd>


<dt>ignore.case</dt>
<dd>If TRUE, case is ignored in <code>keep</code>/<code>subset</code> matching</dd>


<dt>sort</dt>
<dd>if true the returned influence function will be sorted according
to the id variables (lexigraphically)</dd>

</dl>

Merge estimate objects

merge.estimate: Merge estimate objects

Description

Usage

Value

Arguments

See Also