README.md
In csgillespie/abcpmcmc: Scalable Inference for Markov Processes with Intractable Likelihoods
abcpmcmc
This package illustrates example one of the paper
Owen, JR, Gillespie, CS, Wilkinson, DJ.
Scalable inference for Markov processes with intractable likelihoods
Statistics and Computing, 2015 (paper, arXiv).
Source code for the other examples can be obtained by contacting Jamie Owen j.r.owen@newcastle.ac.uk)
Installation
This package is only hosted on github. To install the package,
install.packages("devtools")
install.packages(c("smfsb", "mvtnorm"))
devtools::install_github("abcpmcmc", "csgillespie")
Note Windows users have to first install Rtools.
csgillespie/abcpmcmc documentation built on May 14, 2019, 12:11 p.m.
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abcpmcmc
This package illustrates example one of the paper
Owen, JR, Gillespie, CS, Wilkinson, DJ. Scalable inference for Markov processes with intractable likelihoods Statistics and Computing, 2015 (paper, arXiv).
Source code for the other examples can be obtained by contacting Jamie Owen j.r.owen@newcastle.ac.uk)
Installation
This package is only hosted on github. To install the package,
install.packages("devtools")
install.packages(c("smfsb", "mvtnorm"))
devtools::install_github("abcpmcmc", "csgillespie")
Note Windows users have to first install Rtools.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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