TraitTrainR

TraitTrainR facilitates efficient, large-scale simulations under complex models of continuous trait evolution to investigate measurement error and evolutionary model selection.

Key Features:

• Multiple Output Formats: TraitTrainR employs several output formats for simulation results.
• Trait Data Transformations: The package supports popular trait data transformations.
• Multi-Trait Evolution: TraitTrainR accommodates multi-trait evolution in simulations.
• Flexible Parameter Space: The package exhibits flexibility in defining input parameter space and model stacking.
• Measurement Error: TraitTrainR permits measurement error, allowing for investigation of its potential impacts on evolutionary inference.

Scientific Applications:

• Evolutionary Model Selection: TraitTrainR enables examination of evolutionary model selection problems in empirical phylogenetic case studies.
• Experimental Design: The package addresses questions related to experimental design in comparative biology.
• Statistical Power: TraitTrainR supports investigations of statistical power in comparative biology.

Methodology:

TraitTrainR is developed in R 4.4.0 and conducts simulations under complex models of continuous trait evolution with flexible input parameter space and model stacking.