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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

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RASP Screenshot 1

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Registered

2014-05-11
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