The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

OUwie is an R package for using Brownian motion and Ornstein-Uhlenbeck models for trait evolution. Its friendly webpage is at http://thej022214.github.io/OUwie/; its source code is at https://github.com/thej022214/OUwie/.

Some of the features:

• Brownian motion models that allow the rate (sigma-squared) to vary over the tree
• Ornstein-Uhlenbeck models that allow the rate, optima (theta), and/or strength of pull (alpha) to vary over the tree
• Uncertainty estimation using contour plots to find potential ridges
• Simulation functions
• Automatic testing of some identifiability issues using methods from Ho and Ané (2014)
• Ancestral state estimation under all these models (though use substantial caution)
• Use of measurement error at the tips

Some of its caveats:

• It is univariate (a single trait) only
• For multiple rate models, it requires some mapping of regimes (stochastic character mapping of a discrete state, using node labels for regimes on trees, etc.).
• It warns you about models that are very complex for what your data may allow, but it will let you run them
• Optimization can be a difficult problem – it tries its best, and will announce failures when it notices them, but still be careful

This is the bleeding edge version: you can install it with remotes::install_github("thej022214/OUwie") [install the remotes package from CRAN first]

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.
Health stats visible at Monitor.