learnPopGen

learnPopGen simulates and analyzes population-genetic and evolutionary dynamics, providing R functions to model gene-frequency trajectories, phenotypic evolution under natural selection, evolutionary game-theory outcomes, and coalescence under genetic drift.

Key Features:

• R package: Implemented as an R package supplying functions for simulation and analysis within the R environment.
• Simulation and Numerical Analysis: Functions perform simulations and detailed numerical analyses of evolutionary processes.
• Gene-frequency Visualization: Visualizes gene-frequency changes over time under deterministic and stochastic models.
• Phenotypic Evolution Animations: Produces animated visualizations of phenotypic trait evolution under natural selection pressures.
• Evolutionary Game Theory: Numerically analyzes and graphs outcomes from simple game-theory models.
• Coalescence Plotting: Plots coalescence events and lineage relationships in populations experiencing genetic drift.
• Export of Graphics and Videos: Exports results as static or animated graphics and videos.

Scientific Applications:

• Gene-frequency dynamics: Studying temporal changes in allele frequencies under deterministic and stochastic processes.
• Phenotypic evolution: Exploring trait evolution under natural selection pressures.
• Evolutionary game theory: Analyzing strategic interactions and outcomes using game-theory models.
• Genetic drift and coalescence: Investigating drift-driven lineage coalescence and historical relationships within populations.
• Education in population genetics: Illustrating core concepts in population genetics and evolutionary biology through simulation and visualization.

Methodology:

All functionality is implemented as R functions executed within the R environment.