Mediation Analysis Confidence Intervals
CI for a nonlinear function of coefficients estimates
Model-based Constrained Optimization (MBCO) Chi-squared Test
Confidence Interval for the Mediated Effect
Probability (percentile) for the Monte Carlo Sampling Distribution of ...
Percentile for the Distribution of Product of Two Normal Variables
Quantile for the Monte Carlo Sampling Distribution of a nonlinear func...
Quantile for the Distribution of Product of Two Normal Variables
Objects exported from other packages
RMediation: Mediation Analysis Confidence Intervals
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>.
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