REML: Restricted maximum likelihood estimation for a random effects...
In nshi-stat/netiim3: Improved Inference Methods for Network Meta-Analysis
Description
Usage
Arguments
See Also
Description
Restricted maximum likelihood estimation for a random effects multivariate meta-analysis
Usage
1
REML(y, S, maxitr = 200)
Arguments
y
N x p matrix of outcome variables.
S
Series of within-study covariance matrices of the outcome variables.
A matrix or data frame with N rows and p(p+1)/2 columns.
maxitr
The maximum iteration number of the Newton-Raphson algorithm.
See Also
Other ML: ML
nshi-stat/netiim3 documentation built on May 6, 2019, 10:51 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.
Description Usage Arguments See Also
Description
Restricted maximum likelihood estimation for a random effects multivariate meta-analysis
Usage
1 | REML(y, S, maxitr = 200)
|
Arguments
y |
N x p matrix of outcome variables. |
S |
Series of within-study covariance matrices of the outcome variables. A matrix or data frame with N rows and p(p+1)/2 columns. |
maxitr |
The maximum iteration number of the Newton-Raphson algorithm. |
See Also
Other ML: ML
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.