https://github.com/csgillespie/hybrid-pmcmc
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
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○Scientific vocabulary similarity
Low similarity (7.6%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: csgillespie
- Language: FORTRAN
- Default Branch: master
- Size: 459 KB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
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.
- Change to the
srcdirectorycd src Type
makeshould build the code with no errors and create an executable calledpmcmc. Note thegslmath library is needed.The
pmcmcexecutable has a number of options:-sthe simulator used - eithergillespie,hybridLNA,hybridSDE-nthe number of iterations-dthe input directory. This directory should contain a sub-directory with the name of the simulator used.-bthe burnin - default 0-tthin - 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
- Website: https://www.jumpingrivers.com
- Twitter: csgillespie
- Repositories: 62
- Profile: https://github.com/csgillespie
Author of Efficient R programming. R consultant with Jumping Rivers and Senior Statistics lecturer at Newcastle University.
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