https://github.com/csgillespie/hybrid-pmcmc

https://github.com/csgillespie/hybrid-pmcmc

Science Score: 10.0%

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    Links to: arxiv.org
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    Low similarity (7.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: csgillespie
  • Language: FORTRAN
  • Default Branch: master
  • Size: 459 KB
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Created over 12 years ago · Last pushed almost 12 years ago
Metadata Files
Readme

README.md

Bayesian Inference for Hybrid Discrete-Continuous Systems Biology Models

This repository contains the source code for the paper

Sherlock, C., Golightly, A., Gillespie, C.S. (2013) Bayesian Inference for Hybrid Discrete-Continuous Systems Biology Models (arXiv)

To download the code, either clone this repository or download the zip file and unpack.

  1. Change to the src directory cd src
  2. Type make should build the code with no errors and create an executable called pmcmc. Note the gsl math library is needed.

  3. The pmcmc executable has a number of options:

    • -s the simulator used - either gillespie, hybridLNA, hybridSDE
    • -n the number of iterations
    • -d the input directory. This directory should contain a sub-directory with the name of the simulator used.
    • -b the burnin - default 0
    • -t thin - default 1

For example ./pmcmc -s gillespie -n 1000 -d ../input/inference/run1/ -t 2 4. Running the pmcmc executable will create two files:

  • name_of_simulator.csv - mcmc output;
  • timing.csv - run time (in seconds)

Owner

  • Name: Colin Gillespie
  • Login: csgillespie
  • Kind: user
  • Location: Newcastle, UK
  • Company: Newcastle University

Author of Efficient R programming. R consultant with Jumping Rivers and Senior Statistics lecturer at Newcastle University.

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