SAGA-package: Software for the Analysis of Genetic Architecture SAGA

Description Details Author(s) References

Description

Provides multimodel parameter estimates of genetic architecture. Uses weighted least squares to solve all possible models. Chooses the model or models that are most appropriate based on AICc weights and produces model weighted parameter estimates and unconditional standard errors. A function to visualize the distribution of model fits across model space allows users to graphically see how well defined the "true" model is with their dataset.

Details

Package: SAGA
Version: 2.0.0

Author(s)

Heath Blackmon and Jeffery P. Demuth
coleoguy@gmail.com

References

Lynch, M. and B. Walsh. 1998. Genetics and analysis of quantitative traits. Sinauer Associates, Inc., Sunderland, Massachusetts.

Burnham, K. P. and D. R. Anderson. 2002. Model selection and multimodel inference: a practical information-theoretic approach. Springer Science & Business Media.


SAGA documentation built on May 30, 2017, 6:42 a.m.