mmc: Monte Carlo confidence interval for indirect effects
In RandiLGarcia/dyadr: dyadr: Dyadic Data Analysis

Monte Carlo confidence interval for indirect effects

1	mmc(a, b, ase, bse, cov = 0, rep = 40000, conf = 95, dig = 6, seed = 12345)

`a`	path from X to M.
`b`	path from M to Y.
`ase`	standard error for path a.
`bse`	standard error for path b.
`cov`	covariance for a and b (set to zero for MLM, but could be free if using lavaan). Defaults to zero.
`rep`	number of replications (defaults to 40,000).
`conf`	confidence level (defaults to 95).
`dig`	number of decimal places (defaults to 6)
`seed`	seed value (defaults to 12345)