modelImpliedEq

Get the model implied symbolic equations for the auto-regressive effects and
the covariances between the phantom variables

internal

The goal of 'stim' is to provide a function for estimating the Stability Informed Model. The Stability Informed Model integrates stability information (how much a variable correlates with itself in the future) into cross-sectional estimates. Wysocki and Rhemtulla (2022) <https://psyarxiv.com/vg5as>.

Anna Wysocki

stim

Incorporating Stability Information into Cross-Sectional
Estimates

modelImpliedEq function

<dl><dt>S</dt>
<dd>Sample covariance matrix</dd>
<dt>blueprint</dt>
<dd>A character matrix that specifies which effects to estimate and
which effects to constrain to a non-zero value</dd>
<dt>stability</dt>
<dd>A named object that contains stability information for each
variable in the model.</dd>
<dt>residualcov</dt>
<dd>A list with both the lavaan syntax for the residual covariance
and a dataframe with the variable names</dd></dl>

Arguments

Get the model implied symbolic equations for the auto-regressive effects and
the covariances between the phantom variables — modelImpliedEq

<dl>

<dt>S</dt>
<dd>Sample covariance matrix</dd>


<dt>blueprint</dt>
<dd>A character matrix that specifies which effects to estimate and
which effects to constrain to a non-zero value</dd>


<dt>stability</dt>
<dd>A named object that contains stability information for each
variable in the model.</dd>


<dt>residualcov</dt>
<dd>A list with both the lavaan syntax for the residual covariance
and a dataframe with the variable names</dd>

</dl>

modelImpliedEq: Get the model implied symbolic equations for the auto-regressive effects and the covariances between the phantom variables

Description

Usage

Value

Arguments