Jackknife for multiple imputation

Description

Jackknife for multiple imputation

Usage

1
bmem.mi.jack(x, ram, indirect, v, m = 10, moment = FALSE, ...)

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.

m

Number of imputations.

moment

Select mean structure or covariance analysis. moment=FALSE, covariance analysis. moment=TRUE, mean and covariance analysis.

...

Other options for sem function can be used.

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