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 ⚠️ This is a work in progress ⚠️
 
-`pyrenew` is a flexible tool for simulation and statistical inference of epidemiological models, emphasizing renewal models. Built on top of the [`numpyro`](https://num.pyro.ai/) Python library, `pyrenew` provides core components for model building, including pre-defined models for processing various types of observational processes. To start, visit the tutorials section on the project's website [here](https://cdcgov.github.io/PyRenew/tutorials/index.html).
+`pyrenew` is a flexible tool for simulation and statistical inference of epidemiological models, emphasizing renewal models. Built on top of the [numpyro](https://num.pyro.ai/) Python library, `pyrenew` provides core components for model building, including pre-defined models for processing various types of observational processes. To start, visit the tutorials section on the project's website [here](https://cdcgov.github.io/PyRenew/tutorials/index.html).
 
 The following diagram illustrates the composition of the `HospitalAdmissionsModel` class. Notably, all components are modular and can be replaced with custom implementations.