inigrid function

Grid-based preliminary parameter estimates for CUB models

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.

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 $\pi$
• y: A set of values to assign to the feeling parameter $\xi$

Returns

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

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]

See Also

inibest