c.estimate

When all arguments are <code>estimate</code> objects, they are merged into a single
<code>estimate</code> object. When some arguments are not <code>estimate</code> objects but are
named numeric scalars/vectors, the merged <code>estimate</code> object is returned
with an <code>"extra"</code> attribute containing the provided values. This is useful
for bundling auxiliary per-iteration information (e.g., convergence status)
alongside an estimate for use with <code>sim.default()</code>.

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

c.estimate function

<dl><dt>...</dt>
<dd><code>estimate</code> objects and/or named numeric values</dd>
<dt>as.list</dt>
<dd>if TRUE the returned object will be of class <code>list</code> and not
an <code>estimate</code> object.</dd></dl>

Arguments

Concatenate estimate objects — c.estimate

<dl>

<dt>...</dt>
<dd><code>estimate</code> objects and/or named numeric values</dd>


<dt>as.list</dt>
<dd>if TRUE the returned object will be of class <code>list</code> and not
an <code>estimate</code> object.</dd>

</dl>

c.estimate: Concatenate estimate objects

Description

Usage

Value

Arguments

Details

See Also

Examples