Package: paretoconv 0.0.1.001
paretoconv: Calculates the N-Fold Convolution of Two Pareto Distributions
Calculates the n-fold convolution of two Pareto distributions using the techniques devised by Colin Ramsay.
Authors:
paretoconv_0.0.1.001.tar.gz
paretoconv_0.0.1.001.tar.gz(r-4.6-x86_64)
paretoconv_0.0.1.001.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
paretoconv/json (API)
| # Install 'paretoconv' in R: |
| install.packages('paretoconv', repos = c('https://mpadge.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mpadge/paretoconv/issues
convolutionpareto-distributionspowerlaw
Last updated from:d8bacdb6c3. Checks:8 FAIL, 1 ERROR, 3 FAILURE, 1 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | FAIL | 3730 | ||
| linux-devel-x86_64 | FAIL | 3730 | ||
| source / vignettes | ERROR | 3207 | ||
| linux-release-arm64 | FAIL | 3727 | ||
| linux-release-x86_64 | FAIL | 3733 | ||
| macos-release-arm64 | FAIL | 3688 | ||
| macos-release-x86_64 | FAIL | 3753 | ||
| macos-oldrel-arm64 | FAIL | 3693 | ||
| macos-oldrel-x86_64 | FAIL | 3756 | ||
| windows-devel | FAILURE | 3681 | ||
| windows-release | FAILURE | 3707 | ||
| windows-oldrel | FAILURE | 3694 | ||
| wasm-release | OK | 149 |
Exports:compare_conv_distributionsget_asymp_limitpareto_optimiseparetoconvpdf_integralpparetoconvrplconv
Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compares paretoconv with poweRlaw distributions | compare_conv_distributions |
| Get limit of asymptotic convergence | get_asymp_limit |
| Locally optimal fitting of convoluted Pareto distribution to observed data | pareto_optimise |
| paretoconv. | paretoconv-package paretoconv |
| Calculates integral of probability density functions for convoluted Pareto distributions | pdf_integral |
| Estimate probability of observed KS statistic from synthetic models | pparetoconv |
| Generate random deviates for power laws | rplconv |
