inigrid: Grid-based preliminary parameter estimates for CUB models

In CUB: A Class of Mixture Models for Ordinal Data

Description

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

Usage

inigrid(m,freq,x,y)

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 π
y	A set of values to assign to the feeling parameter ξ

Value

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

See Also

inibest

Examples

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]

CUB documentation built on March 31, 2020, 5:14 p.m.