Monte Carlo Confidence Intervals for the Indirect Effect using Normal Theory Maximum Likelihood — MCML • manMCMedMiss

Monte Carlo Confidence Intervals for the Indirect Effect using Normal Theory Maximum Likelihood

Usage

MCML(fit_ml, R = 20000L, alpha = c(0.05, 0.01, 0.001))

Arguments

fit_ml: Object. Output of the FitModelML function.
R: Positive integer. Number of Monte Carlo replications.
alpha: Numeric vector. Significance level.

Value

Monte Carlo confidence intervals.

See also

Other Confidence Interval Functions: MCMI(), MINB(), NBMI(), NBML()

Author

Ivan Jacob Agaloos Pesigan