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Revert cache-version addition and fix hubVis parameter
- Remove cache-version from all workflows (was causing hashFiles error) - Fix hubVis parameter: use 'interactive' instead of 'use_plotly' 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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.github/workflows/R-CMD-check.yaml

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with:
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extra-packages: any::rcmdcheck, local::.
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needs: check
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cache-version: 2
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- uses: conda-incubator/setup-miniconda@v3
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with:

.github/workflows/lint-only-changed-files.yaml

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any::lintr
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any::purrr
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needs: lint
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cache-version: 2
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- name: Add lintr options
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run: |

.github/workflows/pkgdown.yaml

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with:
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extra-packages: any::pkgdown, local::.
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needs: website
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cache-version: 2
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- uses: conda-incubator/setup-miniconda@v3
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with:

.github/workflows/render-readme.yaml

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with:
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packages: any::rmarkdown, ropensci/allcontributors, local::.
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needs: website
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cache-version: 2
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- name: Update contributors
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if: github.ref == 'refs/heads/main'

.github/workflows/test-coverage.yaml

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with:
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extra-packages: any::covr, local::.
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needs: coverage
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cache-version: 2
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- uses: conda-incubator/setup-miniconda@v3
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with:

.github/workflows/update-citation-cff.yaml

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packages: |
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any::cffr
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any::V8
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cache-version: 2
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- name: Update CITATION.cff
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run: |

vignettes/forecastbaselines.Rmd

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@@ -184,7 +184,7 @@ if (requireNamespace("hubVis", quietly = TRUE) &&
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hubVis::plot_step_ahead_model_output(
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model_out,
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constant_hubverse$target_data,
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use_plotly = TRUE # Interactive plot
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interactive = TRUE # Interactive plot
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)
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}
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```
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hubVis::plot_step_ahead_model_output(
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model_out,
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arma_hubverse$target_data,
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use_plotly = TRUE # Interactive plot with 50%, 80%, 95% intervals
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interactive = TRUE # Interactive plot with 50%, 80%, 95% intervals
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)
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}
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```
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The hubVis visualizations show:
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- Prediction intervals at 50%, 80%, and 95% confidence levels
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- Observed truth values overlaid on the forecasts
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- Interactive Plotly plots (set `use_plotly = FALSE` for static ggplot)
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- Interactive Plotly plots (set `interactive = FALSE` for static ggplot)
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# Model Evaluation
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hubVis::plot_step_ahead_model_output(
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model_out,
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seasonal_hubverse$target_data,
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use_plotly = TRUE
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interactive = TRUE
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)
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}
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```

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