paleoTS allows the user to analyze paleontological time-series implementing many common models that are considered by paleontologists when looking at trait changes in a species over time, including random walks, directional change, Ornstein-Uhlenbeck models of adaptation, and stasis. In addition, more complex models are available that allow for punctuated change, and for shifts in dynamics within a time-series.
As a simple example, we simulate directional change, and then fit three common models used in the literature to these data:
library(paleoTS) x <- sim.GRW(ns = 20, ms = 1, vs = 0.3) fit3models(x) #> #> Comparing 3 models [n = 20, method = Joint] #> #> logL K AICc dAICc Akaike.wt #> GRW -15.10736 3 37.71472 0.00000 1 #> URW -28.45691 2 61.61970 23.90498 0 #> Stasis -61.93319 2 128.57227 90.85754 0
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