Nonparametric Bootstrap Confidence Intervals for the Indirect Effect using Normal Theory Maximum Likelihood (ML nested within NB or NB(ML))

Nonparametric Bootstrap Confidence Intervals for the Indirect Effect using Normal Theory Maximum Likelihood (ML nested within NB or NB(ML))

Usage

NBML(data, B = 5000L, mplus_bin)

Arguments

data

Numeric matrix. Output of the GenData or AmputeData functions.

B

Positive integer. Number of bootstrap samples.

mplus_bin

Character string. Path of Mplus binary.

Value

Nonparametric bootstrap confidence intervals. bc corresponds to bias-corrected and pc corresponds to percentile confidence intervals.

See also

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

Author

Ivan Jacob Agaloos Pesigan