tidy.logLik

Creates a data.frame for a log-likelihood object

Computes confidence intervals for nonlinear functions of model
parameters (e.g., product of k coefficients) in single-level and multilevel
structural equation models. Methods include the distribution of the product,
Monte Carlo simulation, and bootstrap methods. It also performs the Model-Based
Constrained Optimization (MBCO) procedure for hypothesis testing of indirect
effects.
References:
Tofighi, D., and MacKinnon, D. P. (2011). RMediation: An R package for mediation
analysis confidence intervals. Behavior Research Methods, 43, 692-700.
<doi:10.3758/s13428-011-0076-x>;
Tofighi, D., and Kelley, K. (2020). Improved inference in mediation analysis: Introducing the model-based constrained optimization procedure.
Psychological Methods, 25(4), 496-515. <doi:10.1037/met0000259>;
Tofighi, D. (2020). Bootstrap Model-Based Constrained Optimization Tests of
Indirect Effects. Frontiers in Psychology, 10, 2989.
<doi:10.3389/fpsyg.2019.02989>.

Davood Tofighi

RMediation

Mediation Analysis Confidence Intervals

tidy.logLik function

<dl><dt>x</dt>
<dd>x A log-likelihood object, typically returned by <a href="/link/logLik?package=RMediation&version=1.3.0" data-mini-rdoc="RMediation::logLik">logLik</a>.</dd>
<dt>...</dt>
<dd>Additional arguments (not used)</dd></dl>

Arguments

Davood Tofighi <a href="/link/dtofighi%40gmail.com?package=RMediation&version=1.3.0" data-mini-rdoc="RMediation::dtofighi@gmail.com">dtofighi@gmail.com</a>

Author

Creates a data.frame for a log-likelihood object — tidy.logLik

<dl>

<dt>x</dt>
<dd>x A log-likelihood object, typically returned by <a href='https://rdrr.io/r/stats/logLik.html'>logLik</a>.</dd>


<dt>...</dt>
<dd>Additional arguments (not used)</dd>

</dl>

Davood Tofighi <a href='mailto:dtofighi@gmail.com'>dtofighi@gmail.com</a>

tidy.logLik: Creates a data.frame for a log-likelihood object

Description

Usage

Value

Arguments

Author

See Also

Examples