Describing episodes in individual sequences, measuring association between domains, smoothing sequences for index plots, heat maps of sequence data, Globally Interdependent Multidimensional Sequence Analysis, and more.
A set of wrapper functions that mainly re-produces some of the sequence plots rendered with TraMineR::seqplot() and 'TraMineRextras'. Whereas 'TraMineR' uses base R to produce the plots this library draws on 'ggplot2'.
Multiple imputation of missing data present in a sequence dataset through prediction based on either a random forest or a multinomial regression model. Covariates and time-dependant covariates can be included in the model. The prediction of the missing values is based on the method of Halpin (2012) .