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>.
| Version: | 1.0 |
| Depends: | R (≥ 4.0) |
| Imports: | graphics, grDevices, Rfast, Rfast2 |
| Published: | 2026-11-03 |
| DOI: | 10.32614/CRAN.package.superstats (may not be active yet) |
| Author: | Michail Tsagris [aut, cre], Manos Papadakis [aut], Alzeley Omar [aut, cph] |
| Maintainer: | Michail Tsagris <mtsagris at uoc.gr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | superstats results |
| Reference manual: | superstats.html , superstats.pdf |
| Package source: | superstats_1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: superstats_1.0.zip, r-oldrel: superstats_1.0.zip |
| macOS binaries: | r-release (arm64): superstats_1.0.tgz, r-oldrel (arm64): superstats_1.0.tgz, r-release (x86_64): superstats_1.0.tgz, r-oldrel (x86_64): superstats_1.0.tgz |
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