bmem.bs: Bootstrap but using the Bollen-Stine method

In bmem: Mediation Analysis with Missing Data Using Bootstrap

Bootstrap but using the Bollen-Stine method

Description

The same as bmem but using the Bollen-Stine method

Usage

bmem.bs(x, ram, indirect, v, ci='bc', cl=.95, 
        boot=1000, max_it=500, ...)

Arguments

x	A data set
ram	RAM path for the mediaiton model
indirect	A vector of indirect effec
v	Indices of variables used in the mediation model. If omitted, all variables are used.
ci	norm: normal approximation CI, perc: percentile CI, bc: bias-corrected CI, bca: BCa
cl	Confidence level. Can be a vector.
boot	Number of bootstraps
max_it	Maximum number of iterations in EM
...	Other options for sem function can be used.

Value

The on-screen output includes the parameter estimates, bootstrap standard errors, and CIs.

Author(s)

Zhiyong Zhang and Lijuan Wang

References

Zhang, Z. & Wang, L. (2011) Four methods for mediation analysis with missing data.

Zhang, Z. (2011) Robust mediation analysis with missing data and auxiliary variables.

See Also

bmem, bmem.sobel, bmem.plot

bmem documentation built on Aug. 27, 2023, 9:07 a.m.