Commit 3162fe33 authored by Bentriou Mahmoud's avatar Bentriou Mahmoud

update README

parent a3eb02f8
......@@ -6,23 +6,24 @@ A Julia package for efficient simulation, statistical inference and verification
It implements:
* A core of simulation for Markov Processes
* A core of simulation for Markov Processes.
* A simple interface for Biochemical Networks / Stochastic Petri Nets.
* Synchronized simulation with Linear Hybrid Automata.
* Approximate Bayesian Computation (a likelihood-free inference method)
* Automaton-ABC: a statistical method for verification of parametric CTMC (cite paper)
## Install
This package is not yet accessible via the Julia package manager. For installatation of the package:
This package is not yet accessible via the Julia package manager. For the install of the package:
1. Clone this git repository on your computer.
2. Add the "core" directory of this repository to your LOAD_PATH. This can be done by two different ways:
2. Add the "core" directory of this repository to your `LOAD_PATH`. This can be done by two different ways:
* Add the Julia line code
```julia
import Distributed: @everywhere
@everywhere push!(LOAD_PATH, /path/to/markovprocesses.jl/core")`
```
on your Julia startup file which is often located in `~/.julia/config/startup.jl` in Unix systems.
```julia
import Distributed: @everywhere
@everywhere push!(LOAD_PATH, /path/to/markovprocesses.jl/core")
```
on your Julia startup file which is often located in `~/.julia/config/startup.jl` in Unix systems.
* If you don't want to add this in your startup file, you can add these lines in your Julia script before `using MarkovProcesses`.
......@@ -30,7 +31,7 @@ on your Julia startup file which is often located in `~/.julia/config/startup.jl
A few notebooks are available in examples/notebooks for a quick presentation of the different features of the package.
## Test
## Tests
Execution tests and statistical tests are available. It can be run by:
......@@ -40,7 +41,7 @@ Execution tests and statistical tests are available. It can be run by:
## Benchmarks
Efforts have been made for efficient computation of simulations with 100% Julia code. These benchmark can be found in bench/.
Benchmarks have been made to test the performance of the package compared to well-known efficient other packages such as `DifferentialEquations.jl`.
## Info
......
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