Jackknife for multiple imputation
1 | bmem.mi.jack(x, ram, indirect, v, m = 10, moment = FALSE, ...)
|
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 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.