Man pages for gmmsslm
Semi-Supervised Gaussian Mixture Model with a Missing-Data Mechanism
| 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... |
| errorrate | Error rate of the Bayes rule for two-class Gaussian... |
| gastro_data | Gastrointestinal dataset |
| get_clusterprobs | Posterior probability |
| get_entropy | Shannon entropy |
| gmmsslm | Fitting Gaussian mixture model to a complete classified... |
| 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... |
| loglk_miss | Log likelihood function formed on the basis of the... |
| 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 |
