bmem.bs {bmem}

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