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
Train ML Models With SQL You Already Know Icon
Train ML Models With SQL You Already Know

BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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