Leader badge

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

RASP Screenshot 1

Project Activity

See All Activity >

Follow RASP

RASP Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of RASP!

Additional Project Details

Registered

2014-05-11
Report inappropriate content