fastcubpq: Main function for CUB models with covariates for both the...

In FastCUB: Fast Estimation of CUB Models via Louis' Identity

Main function for CUB models with covariates for both the uncertainty and the feeling components

Description

Estimate and validate a CUB model for given ordinal responses, with covariates for explaining both the feeling and the uncertainty components by means of logistic transform.

Usage

fastcubpq(m,ordinal,Y,W,starting=NULL,maxiter,toler,iterc=3,invgen=TRUE)

Arguments

m	Number of ordinal categories
ordinal	Vector of ordinal responses
Y	Matrix of selected covariates for explaining the uncertainty component
W	Matrix of selected covariates for explaining the feeling component
starting	Starting values for the algorithm
maxiter	Maximum number of iterations allowed for running the optimization algorithm
toler	Fixed error tolerance for final estimates
iterc	Iteration from which the acceleration strategy starts
invgen	Logical: should the recursive formula for the inverse of the information matrix be considered? (Default is TRUE)

Value

An object of the class "fastCUB"

See Also

loglikcubpq, inibestgama

FastCUB documentation built on May 29, 2024, 8:29 a.m.