Monte Carlo Method Confidence Intervals for X-Y-M

The function generates Monte Carlo method confidence intervals for the mediation model \(X \to Y \to M\).

Usage

MCXYM(phi_hat, delta_t = 1:30, R = 20000L, seed = NULL)

Arguments

phi_hat

R object. Output of the PhiHat() function.

delta_t

Numeric vector. Vector of time intervals.

R

Positive integer. Number of Monte Carlo replications.

seed

Integer. Random seed.

See also

Other Confidence Interval Functions: BootPara(), BootParaStdXMY(), BootParaStdXYM(), BootParaStdYMX(), BootParaXMY(), BootParaXYM(), BootParaYMX(), DeltaStdXMY(), DeltaStdXYM(), DeltaStdYMX(), DeltaXMY(), DeltaXYM(), DeltaYMX(), IllustrationBootPara(), MCStdXMY(), MCStdXYM(), MCStdYMX(), MCXMY(), MCYMX()

Examples

if (FALSE) { # \dontrun{
set.seed(42)
library(dynr)
sim <- GenData(taskid = 1)
data <- RandomMeasurement(sim)
fit <- FitDynr(data, taskid = 1)
phi_hat <- PhiHat(fit)
ci <- MCXYM(phi_hat, seed = 42)
plot(ci)
} # }