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paleoTS

The goal of paleoTS is to allow the user to simulate and fit time-series models commonly used to understand trait evolution in paleontology. Models include random walks, stasis, directional trends, OU, covariate-tracking, punctuations and more. Model fitting is done via maximum likelihood.

Example

This is a simple example in which a time-series is generated, plotted, and then fit with three common models in paleobiology. The generating model is a general (also called biased) random walk, with a pretty strong trend parameter. Usually, this model receives just about all of the available model support with these generating parameters.

library(paleoTS)
y <- sim.GRW(ns = 40, ms = 0.3)
plot(y)

fit3models(y)
#> 
#> Comparing 3 models [n = 40, method = Joint]
#> 
#>              logL K      AICc     dAICc Akaike.wt
#> GRW     -26.86719 3  60.40106   0.00000         1
#> URW     -37.85943 2  80.04318  19.64213         0
#> Stasis -113.33758 2 230.99949 170.59844         0

Take a look at the vignette “paleoTS_basics” for more of an introduction to this package.

Installation

paleoTS should be installed from CRAN.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.