# Using DynamicHMC

Turing supports the use of DynamicHMC as a sampler through the use of the `DynamicNUTS`

function. This is a faster version of Turing’s native `NUTS`

implementation.

`DynamicNUTS`

is not appropriate for use in compositional inference. If you intend to use Gibbs sampling, you must use Turing’s native `NUTS`

function.

To use the `DynamicNUTS`

function, you must import the `DynamicHMC`

package as well as Turing. Turing does not formally require `DynamicHMC`

but will include additional functionality if both packages are present.

Here is a brief example of how to apply `DynamicNUTS`

:

```
# Import Turing and DynamicHMC.
using LogDensityProblems, DynamicHMC, Turing
# Model definition.
@model gdemo(x, y) = begin
s ~ InverseGamma(2,3)
m ~ Normal(0,sqrt(s))
x ~ Normal(m, sqrt(s))
y ~ Normal(m, sqrt(s))
end
# Pull 2,000 samples using DynamicNUTS.
chn = sample(gdemo(1.5, 2.0), DynamicNUTS(2000))
```