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docs/src/api.md

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### Predictions
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| Exported symbol | Documentation | Description |
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|:---------------- |:----------------------------- |:---------------------------------------- |
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| `predict` | [`StatsAPI.predict`](https://turinglang.org/DynamicPPL.jl/stable/api/#Predicting) | Generate samples from posterior predictive distribution |
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| Exported symbol | Documentation | Description |
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|:--------------- |:--------------------------------------------------------------------------------- |:------------------------------------------------------- |
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| `predict` | [`StatsAPI.predict`](https://turinglang.org/DynamicPPL.jl/stable/api/#Predicting) | Generate samples from posterior predictive distribution |
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### Querying model probabilities and quantities
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Please see the [generated quantities](https://turinglang.org/docs/tutorials/usage-generated-quantities/) and [probability interface](https://turinglang.org/docs/tutorials/usage-probability-interface/) guides for more information.
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| Exported symbol | Documentation | Description |
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|:--------------------------- |:---------------------------------------------------------------------------------------------------------------------------------- |:--------------------------------------------------- |
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| `returned` | [`DynamicPPL.returned`](https://turinglang.org/DynamicPPL.jl/stable/api/#DynamicPPL.returned-Tuple{Model,%20NamedTuple}) | Calculate additional quantities defined in a model |
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| `pointwise_loglikelihoods` | [`DynamicPPL.pointwise_loglikelihoods`](@extref) | Compute log likelihoods for each sample in a chain |
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| `logprior` | [`DynamicPPL.logprior`](@extref) | Compute log prior probability |
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| `logjoint` | [`DynamicPPL.logjoint`](@extref) | Compute log joint probability |
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| `condition` | [`AbstractPPL.condition`](@extref) | Condition a model on data |
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| `decondition` | [`AbstractPPL.decondition`](@extref) | Remove conditioning on data |
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| `conditioned` | [`DynamicPPL.conditioned`](@extref) | Return the conditioned values of a model |
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| `fix` | [`DynamicPPL.fix`](@extref) | Fix the value of a variable |
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| `unfix` | [`DynamicPPL.unfix`](@extref) | Unfix the value of a variable |
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| `OrderedDict` | [`OrderedCollections.OrderedDict`](https://juliacollections.github.io/OrderedCollections.jl/dev/ordered_containers/#OrderedDicts) | An ordered dictionary |
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| Exported symbol | Documentation | Description |
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|:-------------------------- |:--------------------------------------------------------------------------------------------------------------------------------- |:-------------------------------------------------- |
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| `returned` | [`DynamicPPL.returned`](https://turinglang.org/DynamicPPL.jl/stable/api/#DynamicPPL.returned-Tuple%7BModel,%20NamedTuple%7D) | Calculate additional quantities defined in a model |
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| `pointwise_loglikelihoods` | [`DynamicPPL.pointwise_loglikelihoods`](@extref) | Compute log likelihoods for each sample in a chain |
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| `logprior` | [`DynamicPPL.logprior`](@extref) | Compute log prior probability |
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| `logjoint` | [`DynamicPPL.logjoint`](@extref) | Compute log joint probability |
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| `condition` | [`AbstractPPL.condition`](@extref) | Condition a model on data |
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| `decondition` | [`AbstractPPL.decondition`](@extref) | Remove conditioning on data |
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| `conditioned` | [`DynamicPPL.conditioned`](@extref) | Return the conditioned values of a model |
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| `fix` | [`DynamicPPL.fix`](@extref) | Fix the value of a variable |
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| `unfix` | [`DynamicPPL.unfix`](@extref) | Unfix the value of a variable |
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| `OrderedDict` | [`OrderedCollections.OrderedDict`](https://juliacollections.github.io/OrderedCollections.jl/dev/ordered_containers/#OrderedDicts) | An ordered dictionary |
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### Point estimates
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