effecubecsi: Auxiliary function for the log-likelihood estimation of CUBE...
In CUB: A Class of Mixture Models for Ordinal Data
Description
Compute the opposite of the scalar function that is maximized when running the
E-M algorithm for CUBE models with covariates only for the feeling component.
Usage
1
effecubecsi(param, ordinal, W, m)
Arguments
param
Vector of length equal to NCOL(W) + 3 whose entries are the initial parameters estimates
ordinal
Vector of ordinal responses
W
Matrix of the selected covariates for explaining the feeling component
m
Number of ordinal categories
CUB documentation built on March 31, 2020, 5:14 p.m.
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Description
Compute the opposite of the scalar function that is maximized when running the E-M algorithm for CUBE models with covariates only for the feeling component.
Usage
1 | effecubecsi(param, ordinal, W, m)
|
Arguments
param |
Vector of length equal to NCOL(W) + 3 whose entries are the initial parameters estimates |
ordinal |
Vector of ordinal responses |
W |
Matrix of the selected covariates for explaining the feeling component |
m |
Number of ordinal categories |
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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