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 |
dist_freqwH |
Pairwise frequency-Weighted Hamming distance matrix for categorical data |
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_AvePP |
Average posterior probabilities of a fitted MEDseq model |
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 |