| bestcub | Best-subset variable selection for CUB models via fast EM algorithm | 
| BIC.fastCUB | S3 BIC method for class "fastCUB" | 
| bitcsi | Shifted Binomial probabilities of ordinal responses | 
| bitgama | Shifted Binomial distribution with covariates | 
| coef.fastCUB | S3 Method: coef for class "fastCUB" | 
| cormat | Correlation matrix for estimated model | 
| dissim | Normalized dissimilarity measure | 
| fastCUB | Main function for fast estimation CUB models | 
| fastCUB_package | fastCUB package | 
| fitted.fastCUB | S3 method "fitted" for class "fastCUB" | 
| inibest | Preliminary estimators for CUB models without covariates | 
| inibestgama | Preliminary parameter estimates of a CUB model with covariates for feeling | 
| invmatgen | Recursive computation of the inverse of a matrix | 
| logis | The logistic transform | 
| logLik.fastCUB | logLik S3 Method for class "fastCUB" | 
| makeplot | Plot facilities for fastCUB objects | 
| print.fastCUB | S3 method: print for class "fastCUB" | 
| probbit | Probability distribution of a shifted Binomial random variable | 
| probcub00 | Probability distribution of a CUB model without covariates | 
| probcub0q | Probability distribution of a CUB model with covariates for the feeling component | 
| probcubp0 | Probability distribution of a CUB model with covariates for the uncertainty component | 
| probcubpq | Probability distribution of a CUB model with covariates for both feeling and uncertainty | 
| relgoods | Relational goods and Leisure time dataset | 
| summary.fastCUB | S3 method: summary for class "fastCUB" | 
| univer | Evaluation of the Orientation Services 2002 | 
| vcov.fastCUB | S3 method vcov() for class "fastCUB" |