CUB (version 1.1.5)

probihgcovn: 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

probihg

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)