confint.cond_indirect_diff

Extract the confidence
interval the output of
<code>cond_indirect_diff()</code>.

Computes indirect effects, conditional effects, and conditional
indirect effects in a structural equation model or path model after model
fitting, with no need to define any user parameters or label any paths in
the model syntax, using the approach presented in Cheung and Cheung
(2023) <doi:10.3758/s13428-023-02224-z>. Can also form bootstrap
confidence intervals by doing bootstrapping only once and reusing the
bootstrap estimates in all subsequent computations. Supports bootstrap
confidence intervals for standardized (partially or completely) indirect
effects, conditional effects, and conditional indirect effects as described
in Cheung (2009) <doi:10.3758/BRM.41.2.425> and Cheung, Cheung, Lau, Hui,
and Vong (2022) <doi:10.1037/hea0001188>. Model fitting can be done by
structural equation modeling using lavaan() or regression using lm().

Shu Fai Cheung

manymome

Mediation, Moderation and Moderated-Mediation After Model
Fitting

Sing-Hang Cheung

confint.cond_indirect_diff function

<dl><dt>object</dt>
<dd>The output of
<code>cond_indirect_diff()</code>.</dd>
<dt>parm</dt>
<dd>Ignored.</dd>
<dt>level</dt>
<dd>The level of confidence
for the confidence
interval. Default is .95. Must match
the level of the stored confidence
interval.</dd>
<dt>...</dt>
<dd>Optional arguments.
Ignored.</dd></dl>

Arguments

Confidence Interval of the
Output of 'cond_indirect_diff()' — confint.cond_indirect_diff

<dl>

<dt>object</dt>
<dd>The output of
<code>cond_indirect_diff()</code>.</dd>


<dt>parm</dt>
<dd>Ignored.</dd>


<dt>level</dt>
<dd>The level of confidence
for the confidence
interval. Default is .95. Must match
the level of the stored confidence
interval.</dd>


<dt>...</dt>
<dd>Optional arguments.
Ignored.</dd>

</dl>

confint.cond_indirect_diff: Confidence Interval of the Output of 'cond_indirect_diff()'

Description

Usage

Value

Arguments

Details