Fast Estimation of CUB Models via Louis' Identity
Best-subset variable selection for CUB models via fast EM algorithm
S3 BIC method for class "fastCUB"
Shifted Binomial probabilities of ordinal responses
Shifted Binomial distribution with covariates
S3 Method: coef for class "fastCUB"
Correlation matrix for estimated model
Louis' identity for the observed information matrix of the incomplete ...
Normalized dissimilarity measure
Auxiliary function for the log-likelihood estimation of CUB models
Auxiliary function for the log-likelihood estimation of CUB models
fastCUB package
Main function for fast estimation CUB models
Main function for CUB models without covariates
Main function for CUB models with covariates for the feeling component
Main function for CUB models with covariates for the uncertainty compo...
Main function for CUB models with covariates for both the uncertainty ...
S3 method "fitted" for class "fastCUB"
Hadamard product of a matrix with a vector
Preliminary estimators for CUB models without covariates
Preliminary parameter estimates of a CUB model with covariates for fee...
Recursive computation of the inverse of a matrix
Sequence of combinatorial coefficients
The logistic transform
logLik S3 Method for class "fastCUB"
Log-likelihood function of a CUB model without covariates
Log-likelihood function of a CUB model with covariates for the feeling...
Log-likelihood function of a CUB model with covariates for the uncerta...
Log-likelihood function of a CUB model with covariates for both feelin...
Plot facilities for fastCUB objects
Generic function for coefficient names
S3 method: print for class "fastCUB"
Probability distribution of a shifted Binomial random variable
Probability distribution of a CUB model without covariates
Probability distribution of a CUB model with covariates for the feelin...
Probability distribution of a CUB model with covariates for the uncert...
Probability distribution of a CUB model with covariates for both feeli...
S3 method: summary for class "fastCUB"
S3 method vcov() for class "fastCUB"
For ordinal rating data, consider the accelerated EM algorithm to estimate and test models within the family of CUB models (where CUB stands for Combination of a discrete Uniform and a shifted Binomial distributions). The procedure is built upon Louis' identity for the observed information matrix. Best-subset variable selection is then implemented since it becomes more feasible from the computational point of view.