Package: gerda 0.7.1

gerda: German Election Database (GERDA)

Provides tools to download datasets of German elections covering local, state, federal, mayoral, European Parliament, and county (Kreistag) elections, with federal county-level coverage from 1953 and other families extending through 2025. The package supplies turnout, vote shares, and derived indicators at the municipal and county level, including geographically harmonized datasets that account for changes in municipal boundaries over time and incorporate mail-in voting districts. Bundled data includes county-level INKAR covariates (1995-2022) and municipality-level Zensus 2022 indicators. Data is sourced from <https://github.com/awiedem/german_election_data>.

Authors:Hanno Hilbig [aut, cre]

gerda_0.7.1.tar.gz
gerda_0.7.1.zip(r-4.7-any)gerda_0.7.1.zip(r-4.6-any)gerda_0.7.1.zip(r-4.5-any)
gerda_0.7.1.tgz(r-4.6-any)gerda_0.7.1.tgz(r-4.5-any)
gerda_0.7.1.tar.gz(r-4.7-any)gerda_0.7.1.tar.gz(r-4.6-any)
gerda_0.7.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
gerda/json (API)

# Install 'gerda' in R:
install.packages('gerda', repos = c('https://hhilbig.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hhilbig/gerda/issues

On CRAN:

Conda:

5.85 score 5 stars 14 scripts 321 downloads 12 exports 27 dependencies

Last updated from:b63ddf3f07. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK142
source / vignettesOK243
linux-release-x86_64OK141
macos-release-arm64OK127
macos-oldrel-arm64OK175
windows-devel-x86_64OK86
windows-release-x86_64OK97
windows-oldrel-x86_64OK95
wasm-releaseOK120

Exports:add_gerda_censusadd_gerda_covariatesclear_gerda_cachegerda_cache_dirgerda_censusgerda_census_codebookgerda_covariatesgerda_covariates_codebookgerda_data_listgerda_join_diagnosticsload_gerda_webparty_crosswalk

Dependencies:bitbit64clicliprcpp11crayondplyrgenericsgluehmslifecyclemagrittrpillarpkgconfigprettyunitsprogressR6readrrlangstringdisttibbletidyselecttzdbutf8vctrsvroomwithr

Introduction to gerda
Overview | Available Datasets | Loading Data | Choosing the Right Dataset | Example Workflow | Joining GERDA Datasets | County-Level Covariates | Quick Start | Available Covariates | Viewing the Codebook | Advanced Usage | Data Coverage | Census 2022 Data | Available Indicators | Party Crosswalk Function | Usage | Available Mapping Options | Example | Conclusion

Last update: 2026-07-23
Started: 2024-10-22

Using GERDA in Agent-Run Research Workflows
Select from the structured catalog | Download with errors enabled and save a project snapshot | Validate the loaded schema before analysis | Use guarded joins and inspect their diagnostics | Use bundled data and codebooks directly

Last update: 2026-07-16
Started: 2026-07-16