A statistical graphic designed for the archaeological study of rhythms of the long term that embodies a theory of archaeological evidence for the occurrence of events.
tempo(object, ...) # S4 method for EventsMCMC tempo( object, level = 0.95, count = FALSE, credible = TRUE, gauss = TRUE, from = min(object), to = max(object), resolution = NULL ) # S4 method for CumulativeEvents autoplot(object, ..., credible = TRUE, gauss = TRUE) # S4 method for CumulativeEvents,missing plot(x, credible = TRUE, gauss = TRUE, ...) # S4 method for CumulativeEvents multiplot(...)
numericvector giving the confidence level.
logicalscalar: should the counting process be a number or a probability (the default)?
logicalscalar: should the credible interval be computed/displayed?
logicalscalar: should the Gaussian approximation of the credible interval be computed/displayed?
numericvector giving the earliest date to estimate for (in years).
numericvector giving the latest date to estimate for (in years).
numericvector specifying the temporal resolution (in years) at which densities are to be estimated. If
NULL(the default), equally spaced points will be used (according to
The tempo plot is one way to measure change over time: it estimates the cumulative occurrence of archaeological events in a Bayesian calibration. The tempo plot yields a graphic where the slope of the plot directly reflects the pace of change: a period of rapid change yields a steep slope and a period of slow change yields a gentle slope. When there is no change, the plot is horizontal. When change is instantaneous, the plot is vertical.
Dye, T. S. (2016). Long-term rhythms in the development of Hawaiian social stratification. Journal of Archaeological Science, 71: 1-9. doi:10.1016/j.jas.2016.05.006 .