# Epinowcast 0.6.0

**URL:** <https://community.epinowcast.org/t/epinowcast-0-6-0/401>\
**Category:** Announcements\
**Created:** [22 April 2026 11:48 UTC](https://community.epinowcast.org/t/epinowcast-0-6-0/401 "2026-04-22T11:48:50Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![samabbott](https://dub1.discourse-cdn.com/flex005/user_avatar/community.epinowcast.org/samabbott/32/5_2.png) [@samabbott](https://community.epinowcast.org/u/samabbott)\
**Post date:** [22 April 2026 11:48 UTC](https://community.epinowcast.org/t/epinowcast-0-6-0/401/1 "2026-04-22T11:48:50Z")

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Ahead of next week’s Insight meeting I pushed out a new epinowcast release. I thought it was worthwhile sharing here.

The headline additions are print(), summary(), and improved plotting for both preprocessed data and fitted model objects, so inspecting what you have before and after fitting is much less friction.

On the modelling side, epinowcast can now be used for retrospective count estimation without any nowcasting — the same shape of model as EpiNow2 — thanks to support for max\_delay = 1.  
See the single-timeseries Rt vignette: [Estimating the effective reproduction number in real-time for a single timeseries with reporting delays • epinowcast](https://package.epinowcast.org/articles/single-timeseries-rt-estimation.html)

A new inference methods vignette compares NUTS sampling, standalone pathfinder, and pathfinder used to initialise NUTS.  
Useful if you’re weighing posterior accuracy against speed, or looking for something fast enough for real-time production use.

> **[Comparing Inference Methods](https://package.epinowcast.org/articles/inference-methods.html)**
>
> A comparison of NUTS sampling, pathfinder approximate inference, and pathfinder-initialised NUTS across two model specifications.

The getting started vignette has been rewritten to fit and compare several models end-to-end rather than just running the default:

> **[Getting Started with Epinowcast: Nowcasting](https://package.epinowcast.org/articles/epinowcast.html)**
>
> A quick start example demonstrating use of epinowcast to nowcast hospital admissions.

And there’s a new data visualisation vignette walking through plotting before you fit:

> **[Visualising Preprocessed Data](https://package.epinowcast.org/articles/preprocess-visualisation.html)**
>
> Understanding reporting patterns before model fitting.

Plus the usual bug fixes and documentation improvements.  
Full changelog: [Changelog • epinowcast](https://package.epinowcast.org/news/index.html)