| MEDseq-package | MEDseq: Mixtures of Exponential-Distance Models with Covariates |
| biofam | Family life states from the Swiss Household Panel biographical survey |
| dbs | Compute the Density-based Silhouette |
| fitted.MEDgating | Predictions from MEDseq gating networks |
| get_MEDseq_results | Extract results from a MEDseq model |
| MEDseq | MEDseq: Mixtures of Exponential-Distance Models with Covariates |
| MEDseq_clustnames | Automatic labelling of clusters using central sequences |
| MEDseq_compare | Choose the best MEDseq model |
| MEDseq_control | Set control values for use with MEDseq_fit |
| MEDseq_entropy | Entropy of a fitted MEDseq model |
| MEDseq_fit | MEDseq: Mixtures of Exponential-Distance Models with Covariates |
| MEDseq_meantime | Compute the mean time spent in each sequence category |
| MEDseq_nameclusts | Automatic labelling of clusters using central sequences |
| MEDseq_news | Show the NEWS file |
| MEDseq_stderr | MEDseq gating network standard errors |
| mvad | MVAD: Transition from school to work |
| plot.MEDseq | Plot MEDseq results |
| predict.MEDgating | Predictions from MEDseq gating networks |
| print.MEDseq | MEDseq: Mixtures of Exponential-Distance Models with Covariates |
| print.MEDseqCompare | Choose the best MEDseq model |
| print.MEDseqMeanTime | Compute the mean time spent in each sequence category |
| residuals.MEDgating | Predictions from MEDseq gating networks |
| summary.MEDseq | MEDseq: Mixtures of Exponential-Distance Models with Covariates |
| wKModes | Weighted K-Modes Clustering with Tie-Breaking |