QInfoMating

QInfoMating estimates sexual selection and assortative mating using information theory and multimodel inference.

Key Features:

• Statistical Testing: Performs statistical tests for analyzing mating data.
• Model Selection: Performs best-fit model selection for both discrete and continuous mating data.
• Parameter Estimation: Estimates parameters using multimodel inference for both discrete and continuous mating data.
• Jeffreys Divergence: Quantifies information obtained when deviation from random mating occurs using the Jeffreys divergence measure, also known as population stability index.

Scientific Applications:

• Sexual Selection Analysis: Analyzes and interprets mating data within the framework of sexual selection theory.
• Assortative Mating Studies: Tests hypotheses about dynamics underlying observed mating patterns in quantitative mating data.
• Discrete and Continuous Data Analysis: Handles both categorical and quantitative mating data for model selection and multimodel inference.

Methodology:

QInfoMating applies information theory, model selection, and parameter estimation using multimodel inference.