bmem.em.rcov: Estimation of robust covariance matrix
In johnnyzhz/bmem: Mediation Analysis with Missing Data Using Bootstrap
bmem.em.rcov R Documentation
Estimation of robust covariance matrix
Description
Estimation of robust covariance matrix
Usage
bmem.em.rcov(xmis, varphi=.1, max_it=1000, st='i')
Arguments
xmis
Missing data pattern
varphi
Percent of data to be downweighted
max_it
Maximum number of iteration
st
Starting values
Value
An interval function to calculate the robust covaraince matrix
Author(s)
Zhiyong Zhang and Lijuan Wang
johnnyzhz/bmem documentation built on Dec. 30, 2022, 8:41 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| bmem.em.rcov | R Documentation |
Estimation of robust covariance matrix
Description
Estimation of robust covariance matrix
Usage
bmem.em.rcov(xmis, varphi=.1, max_it=1000, st='i')
Arguments
xmis |
Missing data pattern |
varphi |
Percent of data to be downweighted |
max_it |
Maximum number of iteration |
st |
Starting values |
Value
An interval function to calculate the robust covaraince matrix
Author(s)
Zhiyong Zhang and Lijuan Wang
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.