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RASP (Reconstruct Ancestral State in Phylogenies) is a tool for inferring ancestral state using S-DIVA (Statistical dispersal-vicariance analysis), Lagrange (DEC), Bayes-Lagrange (S-DEC), BayArea, BBM (Bayesian Binary MCMC) method, Bayestraits and BioGeoBEARS packages.
All documentation and source code for RASP is freely available at: http://mnh.scu.edu.cn/soft/blog/RASP and http://github.com/sculab/RASP
Features
- Statistical-Dispersal Vicariance Analysis (S-DIVA)
- Bayesian Binary Method
- Dispersal-Extinction Cladogenesis (DEC) model (Lagrange)
- Statistical DEC model (S-DEC)
- BayArea
Project Samples
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