Metadata-Version: 2.1
Name: arginfer
Version: 0.1.dev78
Summary: Infer the Ancestral Recombination Graph
Home-page: http://pypi.python.org/pypi/arginfer
Author: Ali Mahmoudi
Author-email: alimahmoodi29@gmail.com
License: UNKNOWN
Project-URL: Source, https://github.com/alimahmoudi29/arginfer
Project-URL: Bug Reports, https://github.com/alimahmoudi29/arginfer/issues
Description: # ARGinfer
        
        [![Documentation Status](https://readthedocs.org/projects/arginfer/badge/?version=latest)](https://arginfer.readthedocs.io/en/latest/?badge=latest)
        
        ``arginfer`` is a probabilistic method for inferring the
        Ancestral Recombination Graph (ARG). The method uses a Markov chain
        Monte Carlo (MCMC) and samples from the posterior distribution of ARGs
        under the coalescent with recombination prior and infinite sites model of mutations.
        
        Please refer to the [documentation](https://arginfer.readthedocs.io/en/latest/) 
        for information on installing and using the software.
        <!--
        # Quick Run
        The following command can be used to run 1000 MCMC iterations with
        burn-in 200 and retaining every 20 samples (`thining = 20`).
         Also `n` is the number of sequences each `L = 1e5` in length
         evolving in a population of effective size `Ne = 5000`, with
         mutation rate 1e-8 mutations/generation/site and recombination rate
         1e-8 recombinations/generation/site.
        
        ```
        python3 main.py \
            -I 1000 --thin 20 -b 200 \
            -n 5 -L 1e5 --Ne 5000 \
            -r 1e-8 -mu 1e-8 \
            -O output/out1 \
            --random-seed 1 \
            --plot
        ```
         The output will be stored in the given path "output/out1". If "--plot"
         is given, the trace plot will be stored in the output path in a "pdf"
         format.
        -->
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Classifier: Development Status :: 3 - Alpha
Requires-Python: >=3.4
Description-Content-Type: text/markdown
