Design_array            Design array
ETAmat                  Generate ideal response matrix
L_real_array            Observed response times array
OddsRatio               Compute item pairwise odds ratio
Q_list_g                Generate a list of Q-matrices for each
                        examinee.
Q_matrix                Q-matrix
TPmat                   Generate monotonicity matrix
Test_order              Test block ordering of each test version
Test_versions           Subjects' test version
Y_real_array            Observed response accuracy array
hmcdm                   Gibbs sampler for learning models
hmcdm-package           hmcdm: Hidden Markov Cognitive Diagnosis Models
                        for Learning
inv_bijectionvector     Convert integer to attribute pattern
pp_check.hmcdm          Graphical posterior predictive checks for
                        hidden Markov cognitive diagnosis model
print.summary.hmcdm     Summarizing Hidden Markov Cognitive Diagnosis
                        Model Fits
rOmega                  Generate a random transition matrix for the
                        first order hidden Markov model
random_Q                Generate random Q matrix
sim_RT                  Simulate item response times based on Wang et
                        al.'s (2018) joint model of response times and
                        accuracy in learning
sim_alphas              Generate attribute trajectories under the
                        specified hidden Markov models
sim_hmcdm               Simulate responses from the specified model
                        (entire cube)
