Yes, here is an example with the built-in whales dataset.
data(whales, events.whales)
ed <- getEventData(whales, events.whales, burnin=0.25, nsamples=500)
The list element ed$eventData contains a table of events for each posterior sample. This lists the timing and node for each shift, and the parameters of the exponential change model for that rate regime.
head(ed$eventData, 3)
[[1]]
node time lam1 lam2 mu1 mu2 index
1 88 0.0000 0.251417 -0.0293481 0.03413370 0 1
2 42 12.8214 0.993371 -0.0464565 0.57440900 0 2
3 141 26.0480 0.301387 -0.0434084 0.00620047 0 3
[[2]]
node time lam1 lam2 mu1 mu2 index
1 88 0.0000 0.180316 -0.0314398 0.00603266 0 1
2 132 16.3472 0.363055 -0.0363018 0.02545200 0 2
[[3]]
node time lam1 lam2 mu1 mu2 index
1 88 0.0000 0.131678 -0.0235760 0.0103028 0 1
2 140 23.4463 0.405294 -0.0309377 0.0283852 0 2