effeihgcov: Auxiliary function for the log-likelihood estimation of IHG...
In CUB: A Class of Mixture Models for Ordinal Data
effeihgcov R Documentation
Auxiliary function for the log-likelihood estimation of IHG models with covariates
Description
Compute the opposite of the log-likelihood function for an IHG model with covariates
for the preference parameter.
Usage
effeihgcov(nu, ordinal, U, m)
Arguments
nu
Vector of the starting values for the parameters to be estimated, with length equal to
NCOL(U)+1 to account for an intercept term (first entry of nu)
ordinal
Vector of ordinal responses
U
Matrix of the explanatory variables for the preference parameter \theta
m
Number of ordinal categories
Details
It is called as an argument for "optim" within IHG function (with covariates)
as the function to minimize.
CUB documentation built on May 29, 2024, 5:23 a.m.
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| effeihgcov | R Documentation |
Auxiliary function for the log-likelihood estimation of IHG models with covariates
Description
Compute the opposite of the log-likelihood function for an IHG model with covariates for the preference parameter.
Usage
effeihgcov(nu, ordinal, U, m)
Arguments
nu |
Vector of the starting values for the parameters to be estimated, with length equal to
NCOL(U)+1 to account for an intercept term (first entry of |
ordinal |
Vector of ordinal responses |
U |
Matrix of the explanatory variables for the preference parameter |
m |
Number of ordinal categories |
Details
It is called as an argument for "optim" within IHG function (with covariates) as the function to minimize.
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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