Package: superstats 1.0

Michail Tsagris
superstats: Super Statistics
Superstatistics generally applies to analyzing complex systems where traditional statistical methods are insufficient. This approach is particularly valuable in areas like physics, finance, and environmental science. It steps in when there are underlying variables or parameters in a system that fluctuate significantly over space or time, which traditional statistics might overlook. For more information see: Alzeley O. (2020) <doi:10.1002/cmm4.1085>.
Authors:
superstats_1.0.tar.gz
superstats_1.0.zip(r-4.7-any)superstats_1.0.zip(r-4.6-any)
superstats_1.0.tar.gz(r-4.7-any)superstats_1.0.tar.gz(r-4.6-any)
superstats_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
superstats/json (API)
| # Install 'superstats' in R: |
| install.packages('superstats', 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 from:bee53faae0. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 115 | ||
| source / vignettes | OK | 165 | ||
| linux-release | OK | 106 | ||
| windows-devel | OK | 89 | ||
| windows-release | OK | 86 | ||
| wasm-release | OK | 104 |
Exports:createalfafind_cfmain
Dependencies:BHRcppRcppArmadilloRcppParallelRfastRfast2Rnanoflannzigg
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Super Statistics. | superstats-package |
| Grid of all combinations of parameter values | createalfa |
| Characteristic function estimation with a learning algorithm | find_cf |
| Characteristic function estimation with a learning algorithm: simulation example | main |
