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Merge branch 'main' into huge_hier
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‎.Rbuildignore

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^README\.Rmd$
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^TODO\.Rmd$
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^TODO\.md$
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^index\.md$
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^examples$
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^\.github$
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^codecov\.yml$
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^data-raw$
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^\./tests/testthat/dataForTests/generate_weeklyTestData\.R$
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^bayesRecon\.Rproj$
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^tests/testthat/dataForTests/generate_monthlyCountData\.R$
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^_pkgdown\.yml$
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^docs$
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^pkgdown$

‎.github/workflows/pkgdown.yaml

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# Workflow derived from https://github.com/r-lib/actions/tree/v2/examples
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# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
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on:
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push:
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branches: [main, master]
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pull_request:
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release:
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types: [published]
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workflow_dispatch:
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name: pkgdown.yaml
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permissions: read-all
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jobs:
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pkgdown:
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runs-on: ubuntu-latest
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# Only restrict concurrency for non-PR jobs
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concurrency:
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group: pkgdown-${{ github.event_name != 'pull_request' || github.run_id }}
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env:
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GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
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permissions:
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contents: write
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steps:
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- uses: actions/checkout@v4
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- uses: r-lib/actions/setup-pandoc@v2
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- uses: r-lib/actions/setup-r@v2
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with:
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use-public-rspm: true
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- uses: r-lib/actions/setup-r-dependencies@v2
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with:
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extra-packages: any::pkgdown, local::.
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needs: website
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- name: Build site
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run: pkgdown::build_site_github_pages(new_process = FALSE, install = FALSE)
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shell: Rscript {0}
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- name: Deploy to GitHub pages 🚀
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if: github.event_name != 'pull_request'
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uses: JamesIves/github-pages-deploy-action@v4.5.0
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with:
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clean: false
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branch: gh-pages
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folder: docs

‎.gitignore

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inst/doc
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/doc/
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/Meta/
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docs

‎DESCRIPTION

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Package: bayesRecon
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Type: Package
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Date: 2024-08-28
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Date: 2024-11-04
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Title: Probabilistic Reconciliation via Conditioning
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Version: 0.3.1
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Version: 0.3.2
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Authors@R: c(person(given = "Dario",
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family = "Azzimonti",
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role = c("aut","cre"),
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testthat (>= 3.0.0)
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Config/testthat/edition: 3
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VignetteBuilder: knitr
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URL: https://github.com/IDSIA/bayesRecon
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URL: https://github.com/IDSIA/bayesRecon, https://idsia.github.io/bayesRecon/
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BugReports: https://github.com/IDSIA/bayesRecon/issues

‎NEWS.md

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# bayesRecon 0.3.2
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* Fixed issues in tests that would run into compatibility issues with the new version of waldo.
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* Added new tests for some limit usage of mixCond, TDcond and BUIS.
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* Added GitHub URL and BugReports URL to DESCRIPTION.
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# bayesRecon 0.3.1
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* IMPORTANT CHANGE IN THE API OF THE `reconc_*` functions: they now require the aggregation matrix A and not the summing matrix S.

‎README.Rmd

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[![](http://cranlogs.r-pkg.org/badges/grand-total/bayesRecon)](https://cran.r-project.org/package=bayesRecon)
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[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
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[![License: LGPL (>= 3)](https://img.shields.io/badge/license-LGPL (>= 3)-yellow.svg)](https://www.gnu.org/licences/lgpl-3.0)
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[![coverage](https://coveralls.io/repos/github/IDSIA/bayesRecon/badge.svg)](https://coveralls.io/r/IDSIA/bayesRecon?branch=main)
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[![coverage](https://coveralls.io/repos/github/IDSIA/bayesRecon/badge.svg)](https://coveralls.io/github/IDSIA/bayesRecon)
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<!-- badges: end -->
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The package `bayesRecon` implements several methods for probabilistic reconciliation of hierarchical time series forecasts.
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Zambon, L., Agosto, A., Giudici, P., Corani, G. (2024).
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*Properties of the reconciled distributions for Gaussian and count forecasts*.
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International Journal of Forecasting (in press).
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International Journal of Forecasting 40 (4), 1438-1448.
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[DOI](https://doi.org/10.1016/j.ijforecast.2023.12.004)
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Zambon, L., Azzimonti, D., Rubattu, N., Corani, G. (2024).
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*Probabilistic reconciliation of mixed-type hierarchical time series*.
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The 40th Conference on Uncertainty in Artificial Intelligence, accepted.
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Zambon, L., Azzimonti, D., Rubattu, N., Corani, G. (2024).
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*Probabilistic reconciliation of mixed-type hierarchical time series*.
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Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence,
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in Proceedings of Machine Learning Research 244:4078-4095. [Available here](https://proceedings.mlr.press/v244/zambon24a.html).
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## Contributors
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‎README.md

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experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
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[![License: LGPL (\>=
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3)](https://img.shields.io/badge/license-LGPL%20(%3E=%203)-yellow.svg)](https://www.gnu.org/licences/lgpl-3.0)
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[![coverage](https://coveralls.io/repos/github/IDSIA/bayesRecon/badge.svg)](https://coveralls.io/r/IDSIA/bayesRecon?branch=main)
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[![coverage](https://coveralls.io/repos/github/IDSIA/bayesRecon/badge.svg)](https://coveralls.io/github/IDSIA/bayesRecon)
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<!-- badges: end -->
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The package `bayesRecon` implements several methods for probabilistic
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Zambon, L., Agosto, A., Giudici, P., Corani, G. (2024). *Properties of
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the reconciled distributions for Gaussian and count forecasts*.
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International Journal of Forecasting (in press).
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International Journal of Forecasting 40 (4), 1438-1448.
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[DOI](https://doi.org/10.1016/j.ijforecast.2023.12.004)
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Zambon, L., Azzimonti, D., Rubattu, N., Corani, G. (2024).
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*Probabilistic reconciliation of mixed-type hierarchical time series*.
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The 40th Conference on Uncertainty in Artificial Intelligence, accepted.
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Proceedings of the Fortieth Conference on Uncertainty in Artificial
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Intelligence, in Proceedings of Machine Learning Research 244:4078-4095.
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[Available here](https://proceedings.mlr.press/v244/zambon24a.html).
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## Contributors
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‎_pkgdown.yml

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url: https://idsia.github.io/bayesRecon/
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template:
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bootstrap: 5
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