Posterior Predictive Checks for Coalescent Models Using R Package P2C2M

This dataset supports the evaluation of the multispecies coalescent model's statistical fit using posterior predictive simulation. It includes empirical data from Tamias chipmunks and Myotis bats, where hybridization and gene flow are suspected. The data was used to test the P2C2M R package, which employs probability-based summary statistics to assess model fit.

Use Cases

• Evaluate the fit of the multispecies coalescent model to empirical data from Tamias chipmunks using posterior predictive simulation.
• Assess the impact of hybridization and gene flow on model fit for Myotis bats data, which violates the coalescent model assumptions.
• Compare the performance of probability-based summary statistics against other types for reducing error rates in posterior predictive checks.
• Test the utility of simulation replication in decreasing Type II error rates when analyzing species tree genealogies.

Strengths

• Includes empirical data from two distinct taxonomic groups: Tamias chipmunks and Myotis bats.
• The associated R package, P2C2M, was evaluated through a simulation study, providing methodological validation.
• Data is licensed under CC0-1.0, allowing for unrestricted reuse.

Limitations

• The specific data format, column structure, and sample size are not provided in the input.
• The dataset is focused on two specific empirical cases, limiting its generalizability to other taxonomic groups without further validation.
• The last update was in June 2020, which may not reflect the most recent methodological developments in the field.

Provenance

Source

Michael Gruenstaeudl via Dryad.

Collection Method

Generated through simulation studies and analysis of empirical genetic data from Tamias chipmunks and Myotis bats.

Freshness

Last updated on 2020-06-24.