bayesclassifier         Bayes' rule of allocation
bootstrap_gmmsslm       Bootstrap Analysis for gmmsslm
cov2vec                 Transform a variance matrix into a vector
discriminant_beta       Discriminant function
erate                   Error rate of the Bayes rule for a g-class
                        Gaussian mixture model
errorrate               Error rate of the Bayes rule for two-class
                        Gaussian homoscedastic model
gastro_data             Gastrointestinal dataset
get_clusterprobs        Posterior probability
get_entropy             Shannon entropy
gmmsslm                 Fitting Gaussian mixture model to a complete
                        classified dataset or an incomplete classified
                        dataset with/without the missing-data
                        mechanism.
gmmsslmFit-class        gmmsslmFit Class
initialvalue            Initial values for ECM
list2par                Transfer a list into a vector
loglk_full              Full log-likelihood function
loglk_ig                Log likelihood for partially classified data
                        with ingoring the missing mechanism
loglk_miss              Log likelihood function formed on the basis of
                        the missing-label indicator
logsumexp               log summation of exponential function
makelabelmatrix         Label matrix
neg_objective_function
                        Negative objective function for gmmssl
normalise_logprob       Normalize log-probability
par2list                Transfer a vector into a list
paraextract             Extract parameter list from gmmsslmFit objects
plot_missingness        Plot Missingness Mechanism and Boxplot
predict                 Predict unclassified label
pro2vec                 Transfer a probability vector into a vector
rlabel                  Generation of a missing-data indicator
rmix                    Normal mixture model generator.
summary                 Summary method for gmmsslmFit objects
vec2cov                 Transform a vector into a matrix
vec2pro                 Transfer an informative vector to a probability
                        vector
