Package: spikes 1.1
Arturas Rozenas
spikes: Detecting Election Fraud from Irregularities in Vote-Share Distributions
Applies re-sampled kernel density method to detect vote fraud. It estimates the proportion of coarse vote-shares in the observed data relative to the null hypothesis of no fraud.
Authors:
spikes_1.1.tar.gz
spikes_1.1.tar.gz(r-4.5-noble)spikes_1.1.tar.gz(r-4.4-noble)
spikes_1.1.tgz(r-4.4-emscripten)spikes_1.1.tgz(r-4.3-emscripten)
spikes.pdf |spikes.html✨
spikes/json (API)
| # Install 'spikes' in R: |
| install.packages('spikes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:eadb7e35fc. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 22 2024 |
| R-4.5-linux | OK | Nov 22 2024 |
Exports:abupdateconfIntdmbetadmbetabinomem.updateest.densityfraudinitplot.outrange01resamplermnormroundrsamp.matspikessummary.outy.v
Dependencies:bbmlebdsmatrixcodaemdbooklatticeMASSMatrixmvtnormnumDerivplyrRcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Credible interval | confInt |
| Example data | data |
| Ouput object | output |
| Plots output of 'spikes' | plot.out |
| Fraud-detection from vote-share data | spikes |
| Internal functions | a bupdate dmbeta dmbetabinom em.update est.density fraud init range01 resample rmnorm roundr samp.mat y.v |
| Summarize | summary.out |