DesMat: Design Matrix of a loglinear regression
In IvonneMartin/CombinedMultinomial:
Description
Usage
Arguments
Value
Description
Design Matrix of a loglinear regression
Usage
1
DesMat(Q, lvl.cov)
Arguments
Q
A number of categories in a multivariate count outcome.
lvl.cov
A list containing the level of each covariate.
Value
A list of two elements where the first element is the left hand side of loglinear regression and the second element is the design matrix of loglinear regression.
The first element is a matrix of all possible combination of multivariate count and categorical covariate levels. See vignette for more detail.
IvonneMartin/CombinedMultinomial documentation built on Dec. 17, 2021, 11:32 p.m.
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Description Usage Arguments Value
Description
Design Matrix of a loglinear regression
Usage
1 | DesMat(Q, lvl.cov)
|
Arguments
Q |
A number of categories in a multivariate count outcome. |
lvl.cov |
A list containing the level of each covariate. |
Value
A list of two elements where the first element is the left hand side of loglinear regression and the second element is the design matrix of loglinear regression. The first element is a matrix of all possible combination of multivariate count and categorical covariate levels. See vignette for more detail.
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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