Nonparametric Bootstrap Confidence Intervals for the Indirect Effect using Multiple Imputation (NB nested within MI or MI(NB))

Nonparametric Bootstrap Confidence Intervals for the Indirect Effect using Multiple Imputation (NB nested within MI or MI(NB))

Usage

MINB(data_mi, B = 5000L, alpha = c(0.05, 0.01, 0.001))

Arguments

data_mi

List of numeric matrices. Output of the ImputeData function or a list of three-column data sets with imputed data.

B

Positive integer. Number of bootstrap samples.

alpha

Numeric vector. Significance level.

Value

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

References

Wu, Wei., & Jia, F. (2012). A new procedure to test mediation with missing data through nonparametric bootstrapping and multiple imputation. Multivariate Behavioral Research, 48(5), 663–691. doi:10.1080/00273171.2013.816235

See also

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

Author

Ivan Jacob Agaloos Pesigan