bmem.em.rcov: Estimation of robust covariance matrix
In bmem: Mediation analysis with missing data using bootstrap
Description
Usage
Arguments
Value
Author(s)
Description
Estimation of robust covariance matrix
Usage
1
bmem.em.rcov(xmis, varphi=.1, moment=FALSE, max_it=1000, st='i')
Arguments
xmis
Missing data pattern
varphi
Percent of data to be downweighted
moment
Moment analysis if TRUE
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
bmem documentation built on May 2, 2019, 5:27 p.m.
R Package Documentation
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Description Usage Arguments Value Author(s)
Description
Estimation of robust covariance matrix
Usage
1 | bmem.em.rcov(xmis, varphi=.1, moment=FALSE, max_it=1000, st='i')
|
Arguments
xmis |
Missing data pattern |
varphi |
Percent of data to be downweighted |
moment |
Moment analysis if TRUE |
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.
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