design_array: Computes the design socioarray of covariate values
In pdhoff/amen: Additive and Multiplicative Effects Models for Networks and Relational Data
Description
Usage
Arguments
Value
Author(s)
Description
Computes the design socioarray of covariate values for an AME fit
Usage
1
design_array(Xrow=NULL,Xcol=NULL,Xdyad=NULL,intercept=TRUE,n)
Arguments
Xrow
an n x pr matrix of row covariates
Xcol
an n x pc matrix of column covariates
Xdyad
an n x n x pd array of dyadic covariates
intercept
logical
n
number of rows/columns
Value
an n x n x (pr+pc+pd+intercept) 3-way array
Author(s)
Peter Hoff
pdhoff/amen documentation built on Dec. 21, 2020, 6:10 a.m.
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Description Usage Arguments Value Author(s)
Description
Computes the design socioarray of covariate values for an AME fit
Usage
1 | design_array(Xrow=NULL,Xcol=NULL,Xdyad=NULL,intercept=TRUE,n)
|
Arguments
Xrow |
an n x pr matrix of row covariates |
Xcol |
an n x pc matrix of column covariates |
Xdyad |
an n x n x pd array of dyadic covariates |
intercept |
logical |
n |
number of rows/columns |
Value
an n x n x (pr+pc+pd+intercept) 3-way array
Author(s)
Peter Hoff
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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