probihgcovn {CUB} | R Documentation |
Probability distribution of an IHG model with covariates
Description
Given a vector of n
ratings over m
categories, it returns a vector
of length n
whose i-th element is the probability of observing the i-th rating for the
corresponding IHG model with parameter \theta_i
, obtained via logistic link with covariates
and coefficients.
Usage
probihgcovn(m,ordinal,U,nu)
Arguments
m |
Number of ordinal categories |
ordinal |
Vector of ordinal responses |
U |
Matrix of selected covariates for explaining the preference parameter |
nu |
Vector of coefficients for covariates, whose length equals NCOL(U)+1 to include an intercept term in the model (first entry) |
Details
The matrix U
is expanded with a vector with entries equal to 1 in the first column to include
an intercept term in the model.
See Also
Examples
n<-100
m<-7
theta<-0.30
ordinal<-simihg(n,m,theta)
U<-sample(c(0,1),n,replace=TRUE)
nu<-c(0.12,-0.5)
pr<-probihgcovn(m,ordinal,U,nu)
[Package CUB version 1.1.5 Index]