A_optimal_cat           Get the most informative subjects from
                        unlabeled dataset for the categorical case
A_optimal_ord           Get the most informative subjects from
                        unlabeled dataset for the ordinal case
D_optimal               Get the most informative subjects for the
                        clustered data
QIC                     Calculate quasi-likelihood under the
                        independence model criterion (QIC) for
                        Generalized Estimating Equations.
ase_seq_logit           variable selection and stopping criterion
evaluateGEEModel        The adaptive shrinkage estimate for generalized
                        estimating equations
genBin                  Generate the correlated binary response data
                        for discrete case
genCorMat               Generate the correlation matrix for the
                        clusteded data
gen_GEE_data            Generate the datasets with clusters
gen_bin_data            generate the data used for the model experiment
gen_multi_data          Generate the training data and testing data for
                        the categorical and ordinal case.
getMH                   Get the matrices M and H for the clustered data
                        for the GEE case
getWH                   Get the matrices W and H for the categorical
                        case
getWH_ord               Get the matrices W and H for the ordinal case
init_multi_data         Generate the labeled and unlabeled datasets
is_stop_ASE             Determining whether to stop choosing sample
logit_model             the individualized binary logistic regression
                        for categorical response data.
logit_model_ord         the individualized binary logistic regression
                        for ordinal response data.
print.seqGEE            Print the results by the generalized estimating
                        equations.
print.seqbin            Print the results by the binary logistic
                        regression model
print.seqmulti          Print the results by the multi-logistic
                        regression model
seq_GEE_model           The The sequential method for generalized
                        estimating equations case.
seq_bin_model           The sequential logistic regression model for
                        binary classification problem.
seq_cat_model           The sequential logistic regression model for
                        multi-classification problem under the
                        categorical case.
seq_ord_model           The sequential logistic regression model for
                        multi-classification problem under the ordinal
                        case.
update_data_cat         Add the new sample into labeled dataset from
                        unlabeled dataset for the categorical case
update_data_ord         Add the new sample into labeled dataset from
                        unlabeled dataset for the ordinal case
