probihgcovn {CUB} | R Documentation |
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 θ_i, obtained via logistic link with covariates and coefficients.
probihgcovn(m,ordinal,U,nu)
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) |
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.
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)