pairwise_diff

pairwise.diff

Construct contrasts for pairwise differences between parameters,
or apply these contrasts to an <code>estimate</code> object.

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

pairwise_diff function

<dl><dt>n</dt>
<dd>An integer giving the total number of parameters, or an
<code>estimate</code> object from which the number of parameters is derived.</dd>
<dt>idx</dt>
<dd>An integer vector of parameter indices to compare.
If <code>NULL</code>, all parameters are compared.</dd>
<dt>reverse</dt>
<dd>Logical; if <code>TRUE</code>, reverse the direction of each
difference by multiplying the contrast matrix by -1.</dd></dl>

Arguments

Pairwise parameter differences — pairwise_diff

<dl>

<dt>n</dt>
<dd>An integer giving the total number of parameters, or an
<code>estimate</code> object from which the number of parameters is derived.</dd>


<dt>idx</dt>
<dd>An integer vector of parameter indices to compare.
If <code>NULL</code>, all parameters are compared.</dd>


<dt>reverse</dt>
<dd>Logical; if <code>TRUE</code>, reverse the direction of each
difference by multiplying the contrast matrix by -1.</dd>

</dl>

pairwise_diff: Pairwise parameter differences

Description

Usage

Value

Arguments

Details

Examples