fastcubpq {FastCUB} | R Documentation |
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
[Package FastCUB version 0.0.3 Index]