FixEf: The Fixed Effect of a Regression on Count Data.
In IvonneMartin/CombinedMultinomial:
Description
Usage
Arguments
Value
Description
The Fixed Effect of a Regression on Count Data.
Usage
1
FixEf(x.vec, Q, lvl.cov, b, Des)
Arguments
x.vec
The observed vector of covariate for each category.
Q
The number of categories in a multivariate count outcome.
lvl.cov
A list containing the level of each covariate.
b
A vector containing estimates of covariate effects.
Des
A list containing two matrices, the first element is the left hand side of the equation. The second element is the design matrix.
Could be a result from DesMat.
Value
A Q dimensional vector consisting of the expected values of Q categories given the x.vec.
IvonneMartin/CombinedMultinomial documentation built on Dec. 17, 2021, 11:32 p.m.
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Description Usage Arguments Value
Description
The Fixed Effect of a Regression on Count Data.
Usage
1 | FixEf(x.vec, Q, lvl.cov, b, Des)
|
Arguments
x.vec |
The observed vector of covariate for each category. |
Q |
The number of categories in a multivariate count outcome. |
lvl.cov |
A list containing the level of each covariate. |
b |
A vector containing estimates of covariate effects. |
Des |
A list containing two matrices, the first element is the left hand side of the equation. The second element is the design matrix.
Could be a result from |
Value
A Q dimensional vector consisting of the expected values of Q categories given the x.vec.
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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