Learn R Programming

CUB (version 1.1.5)

inigrid: Grid-based preliminary parameter estimates for CUB models

Description

Compute the log-likelihood function of a CUB model with parameter vector \((\pi, \xi)\) ranging in the Cartesian product between \(x\) and \(y\), for a given absolute frequency distribution.

Usage

inigrid(m,freq,x,y)

Value

It returns the parameter vector corresponding to the maximum value of the log-likelihood for a CUB model without covariates for given frequencies.

Arguments

m

Number of ordinal categories

freq

Vector of length \(m\) of the absolute frequency distribution

x

A set of values to assign to the uncertainty parameter \(\pi\)

y

A set of values to assign to the feeling parameter \(\xi\)

See Also

inibest

Examples

Run this code
m<-9
x<-c(0.1,0.4,0.6,0.8)
y<-c(0.2, 0.5,0.7)
freq<-c(10,24,28,36,50,43,23,12,5)
ini<-inigrid(m,freq,x,y)
pai<-ini[1]
csi<-ini[2]

Run the code above in your browser using DataLab