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[![Build Status](https://travis-ci.org/JuliaDiffEq/StochasticDelayDiffEq.jl.svg?branch=master)](https://travis-ci.org/JuliaDiffEq/StochasticDelayDiffEq.jl)
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StochasticDelayDiffEq.jl is a component package in the DifferentialEquatinos ecosystem.
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It holds the delay differential equation solvers and utilities.
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s built on top of StochasticDiffEq to extend those solvers for delay differential equations. While completely independent and usable on its own, users interested in using this functionality should check out [DifferentialEquations.jl](https://github.com/JuliaDiffEq/DifferentialEquations.jl).
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It holds the stochastic delay differential equation solvers and utilities.
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It is built on top of StochasticDiffEq to extend those solvers for stochastic delay differential equations. While completely independent and usable on its own, users interested in using this functionality should check out [DifferentialEquations.jl](https://github.com/JuliaDiffEq/DifferentialEquations.jl) (documentation coming soon).
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## API
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StochasticDelayDiffEq.jl is part of the JuliaDiffEq common interface, but can be used independently of DifferentialEquations.jl. The only requirement is that the user passes a DelayDiffEq.jl algorithm to `solve`. For example, we can solve the [DDE tutorial from the documentation](http://docs.juliadiffeq.org/latest/tutorials/dde_example.html) using the `MethodOfSteps(Tsit5())` algorithm:
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StochasticDelayDiffEq.jl is part of the JuliaDiffEq common interface, but can be used independently of DifferentialEquations.jl. The only requirement is that the user passes a StochasticDiffEq.jl algorithm to `solve`.
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Both constant and state-dependent lags are supported. Interfacing with OrdinaryDiffEq.jl for implicit methods for stiff equations is also supported.
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Both constant and state-dependent lags are supported.
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Interfacing with StochasticDiffEq.jl for implicit methods for stiff equations is not yet supported, but it is coming soon.
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## Available Solvers
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