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news/index.html

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news/index.md

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## reviser (development version)
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### Changes since rOpenSci submission
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### Post-review changes
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- Nowcasting/Forecasting revisions with Jacobs van Norden model
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- Improved estimation methods for Kishor-Koenig model
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- Added Jacobs-van Norden nowcasting support via
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[`jvn_nowcast()`](https://p-wegmueller.github.io/reviser/reference/jvn_nowcast.md).
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- Improved estimation methods and solver behavior in
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[`kk_nowcast()`](https://p-wegmueller.github.io/reviser/reference/kk_nowcast.md).
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- Expanded examples, tests, and documentation.
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### Submission
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### Review milestone
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- Initial submission to rOpenSci for peer review (2025-05-28)
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### Features
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- Core functionality for working with vintage data (real-time datasets)
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- Support for both long and wide format vintage data
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- Handles single time series and lists of multiple time series
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- Validation and format detection for vintage data structures
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- Functions for extracting, comparing, and visualizing vintage data
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- Statistical analysis tools for vintage datasets
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- Nowcasting/Forecasting revisions with Kishor-Koenig model
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### Documentation
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- Function documentation with examples
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- Vignettes demonstrating package usage
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- README with quick start guide
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- Submitted to rOpenSci for peer review on 2025-05-28.

pkgdown.yml

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reviser: reviser.html
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revision-analysis: revision-analysis.html
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understanding-revisions: understanding-revisions.html
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last_built: 2026-03-18T16:53Z
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last_built: 2026-03-19T07:47Z
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urls:
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reference: https://p-wegmueller.github.io/reviser/reference
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article: https://p-wegmueller.github.io/reviser/articles

reference/kk_nowcast.html

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reference/kk_nowcast.md

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e,
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h = 0,
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model = "Kishor-Koenig",
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method = "SUR",
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method = "MLE",
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alpha = 0.05,
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solver_options = list()
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)
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- method:
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A string specifying the estimation method to use. Options are "SUR"
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(default), Maximum likelihood ("MLE") and "OLS".
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A string specifying the estimation method to use. Options are "MLE"
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(Maximum Likelihood, default), "SUR", and "OLS".
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- alpha:
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result <- kk_nowcast(df, e, h = h, model = "Kishor-Koenig")
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result$params
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#> Parameter Estimate Std.Error
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#> 1 F0 0.200853533 0.0735783747
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#> 2 G0_0 0.995630065 0.0048794659
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#> 3 G0_1 -0.001694615 0.0047626028
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#> 4 v0 1.598322193 0.1718526669
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#> 5 eps0 0.006664367 0.0007165572
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#> Parameter Estimate Std.Error
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#> 1 F0 0.197750674 0.0732240318
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#> 2 G0_0 0.990000000 0.0000000000
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#> 3 G0_1 0.079813622 0.0757344824
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#> 4 v0 1.598006734 0.1708419518
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#> 5 eps0 0.006636095 0.0007112013
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```

reference/plot.kk_model-1.png

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search.json

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