GEIGER

GEIGER v2.0 implements phylogenetic comparative methods in R to test evolutionary hypotheses using interspecific data and large phylogenies.

Key Features:

• Efficient Algorithms: GEIGER v2.0 incorporates more efficient algorithms to improve computational feasibility for extensive phylogenetic datasets.
• Heterogeneous Models and Data Types: The package supports heterogeneous models and accommodates multiple data types for comparative analyses.
• Integration with ape: GEIGER v2.0 depends on the ape package for compatibility with established phylogenetic data structures and functions in R.
• Expanded Methodological Capabilities: The package extends existing comparative methods and adds novel approaches to address increased scale and complexity of evolutionary data.

Scientific Applications:

• Comparative analyses of evolutionary radiations: Enables testing of patterns and processes across clades undergoing rapid diversification.
• Testing evolutionary hypotheses across species: Facilitates hypothesis testing using interspecific trait data on phylogenies.
• Analysis of large phylogenies: Supports analyses of extensive phylogenetic trees and large-scale evolutionary datasets that challenge traditional methods.

Methodology:

Implements reworked existing phylogenetic comparative algorithms and introduces new algorithms and approaches for comparative analyses.