The evoTS package facilitates univariate and
multivariate analyses of phenotypic change within lineages.
The evoTS package extends the modeling framework
available in the
paleoTS package. All model-fitting procedures in
evoTS have been implemented to mirror the user experience
from paleoTS. For example, all univariate models
implemented in evoTS can be fitted to a
paleoTS object, i.e. the data format used in
paleoTS. The fit of all univariate models available in
paleoTS and evoTS are directly comparable
using the reported AICc.
evoTS contains functions that allow for fitting
different models to separate parts of an evolutionary sequence
(mode-shift models). Functions for investigating likelihood surfaces of
fitted models are also included.
Multivariate models implemented in evoTS include
different versions of multivariate unbiased random walks and
Ornstein-Uhlenbeck processes. These multivariate models allow the user
to test a variety of hypotheses of adaptation and evolution using
phenotypic time-series.
The evoTS package is available on GitHub and can be installed using devtools:
install.packages("devtools")
devtools::install_github("klvoje/evoTS")The package
website contains a vignette (detailed walk-through) on how to use
the various features of the evoTS package.