Description Usage Arguments Details References Examples
Implementation of Bakeman & Gottman (1997) for sequence analysis. Kenny, Kashy & Cook (2006) provide further examples.
1 |
x |
a state.trans object or a list of 4*2 state-transition tables |
delta |
constant added to every cell, required if zero frequencies occur! |
subgroups |
an optional vector containing groupmembership if estimates should be compared between groups |
single.case |
should p-values be computed for single case analysis |
Runs logit models over a multiple number of state-transition tables, see: StateTrans
Aggregates coefficients of all logit models and tests them against zero.
If subgroups are defined, coefficients are tested to be different between groups.
Print-function displays mean logit-coefficients and p-values.
Bakeman, R., & Gottman, J. M. (1997) <DOI: 10.1017/cbo9780511527685 >
Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006) <DOI: 10.1177/1098214007300894>
1 2 3 4 5 6 7 8 9 10 11 12 | ## Not run:
data(CouplesCope)
my.states<-StateExpand(CouplesCope, 2:49, 50:97)
my.trans<-StateTrans(my.states, FALSE)
my.logseq<-LogSeq(my.trans, single.case=TRUE)
my.logseq
plot(my.logseq) # interaction can be plotted
single.LogSeq(my.logseq, 41) # for single case analysis
## End(Not run)
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