DySeq: DySeq Overview
In DySeq: Functions for Dyadic Sequence Analyses

A collection of functions for dyadic sequence anaylses.

DySeq provides an implementation of Bakeman & Gottman's (1997) approach of aggregated logit models. And some additional functions for data preparation. A commented R-Script with examples can be found at https://github.com/PeFox/DySeq_script .

Combining two sequences into one, see StateExpand.
Producing state-transition tables from two combined dyadic dichotomous sequences, see StateTrans.
For analyzing multiple state-transition tables using Bakeman & Gottman's (1997) approach, see LogSeq.
For analyzing dyadic sequences using generalized multi-level models, see MLAP_Trans.
For analyzing dyadic sequences using a basic Markov model, see Basic_Markov_as_APIM.
For estimating the expected number of cases with low- or zero-frequencies for a behavioral coding study, see EstFreq or EstTime.
For 'decumulating' a cumulated hazard function, see NonCumHaz.
For finding the last occurence of a certain state or event within a sequence (needed to transform sequence data into time-to-event data), see LastOccur.