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add refresher delays episode #154
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Thank you!Thank you for your pull request 😃 🤖 This automated message can help you check the rendered files in your submission for clarity. If you have any questions, please feel free to open an issue in {sandpaper}. If you have files that automatically render output (e.g. R Markdown), then you should check for the following:
Rendered Changes🔍 Inspect the changes: https://github.com/epiverse-trace/tutorials/compare/md-outputs..md-outputs-PR-154 The following changes were observed in the rendered markdown documents:
What does this mean?If you have source files that require output and figures to be generated (e.g. R Markdown), then it is important to make sure the generated figures and output are reproducible. This output provides a way for you to inspect the output in a diff-friendly manner so that it's easy to see the changes that occur due to new software versions or randomisation. ⏱️ Updated at 2024-11-12 20:48:37 +0000 |
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have made a few adjustments based on the remarks, with only a few remaining to be completed.
dplyr::filter(delay_onset_death < 0) | ||
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More on estimating a _delay-adjusted_ CFR on the episode about **Estimating outbreak severity**! |
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add the link of this episode.
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Agree. But I added links to all at the end, in this commit dc6dd0a
simplify here callout + add readr namespace
also hide the inference task
worked on some final edits and added helper visuals. now merging. |
This PR replaces the currently visible episode with one on Introduction to Outbreak Analytics, focused on epidemiological delays while refreshing basic R functions that will be used downstream the tutorials.