https://cran.r-project.org/package=evoTS
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 GitHub repository contains a copy of the current development version of the R package evoTS. This version is as recent as or more recent than the official release of evoTS on the Comprehensive R Archive Network (CRAN), which is available at https://cran.r-project.org/package=evoTS.
For the most recent official and stable release of evoTS
, see
https://cran.r-project.org/package=evoTS
## Installing from CRAN
> install.packages("evoTS")
> library(evoTS)
## Installing from GitHub
> install.packages("devtools")
> devtools::install_github("klvoje/evoTS")
> library(evoTS)
The package
website contains a vignette (detailed walk-through) on how to use
the various features of the evoTS
package.
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