• KronFit

  • Referenced in 26 articles [sw20428]
  • long list of surprising properties: Heavy tails for the in- and out-degree distribution, heavy...
  • GPML

  • Referenced in 25 articles [sw12890]
  • functions are supported including Gaussian and heavy-tailed for regression as well as others suitable...
  • PhFit

  • Referenced in 22 articles [sw01789]
  • results in satisfactory fitting also for heavy-tail distributions. Moreover, PhFit allows the user...
  • EbayesThresh

  • Referenced in 13 articles [sw11103]
  • probability at zero and a suitable heavy-tailed distribution. The mixing parameter can be estimated...
  • LambertW

  • Referenced in 7 articles [sw06066]
  • LambertW: Analyze and Gaussianize skewed, heavy-tailed data , The Lambert W framework ... generalized way to analyze skewed, heavy-tailed data. Lambert W random variables (RV) are based ... slightly skewed or heavy-tailed). Then this transformed RV Y has a Lambert ... Lambert W analysis of skewed and heavy-tailed data: data can be simulated, parameters...
  • actuar

  • Referenced in 12 articles [sw06079]
  • commonly used in insurance, most notably heavy tailed distributions...
  • GSM

  • Referenced in 12 articles [sw10497]
  • flexible and novel approach for modeling heavy-tailed distributions, it is computationally efficient...
  • tlmec

  • Referenced in 10 articles [sw11119]
  • outliers and the need for heavy tailed distributions for random effects and residual errors motivate...
  • heavy

  • Referenced in 4 articles [sw13216]
  • heavy: Package for robust estimation using heavy-tailed distributions. This package contains functions to perform ... robust estimation considering heavy-tailed distributions. Currently, the package includes linear regression, linear mixed-effect...
  • FABIA

  • Referenced in 6 articles [sw23382]
  • realistic non-Gaussian signal distributions with heavy tails. FABIA utilizes well understood model selection techniques...
  • gPdtest

  • Referenced in 5 articles [sw11193]
  • null hypothesis includes heavy and non-heavy tailed gPd’s. A function for fitting...
  • NAGSAT

  • Referenced in 4 articles [sw11453]
  • distributed search paradigm. Nagging exploits the heavy-tailed distribution of 3-SAT solution time...
  • BootWPTOS

  • Referenced in 4 articles [sw23807]
  • including those whose marginal distributions possess heavy tails. We provide freeware R software that implements...
  • poweRlaw

  • Referenced in 2 articles [sw19742]
  • Fitting Heavy Tailed Distributions: The poweRlaw Package. Over the last few years, the power ... makes fitting power laws and other heavy-tailed distributions straightforward. This package contains R functions ... fitting, comparing and visualizing heavy tailed distributions. Overall, it provides a principled approach to power...
  • CensMixReg

  • Referenced in 2 articles [sw21090]
  • instance, in the presence of heavy tails or atypical observations. For such data structures ... data with great flexibility, accommodating multimodality, heavy tails and also skewness depending on the structure...
  • EMMIXcskew

  • Referenced in 3 articles [sw16159]
  • with parameters for capturing skewness and heavy-tails in the data. It formally encompasses...
  • EVANESCE

  • Referenced in 2 articles [sw09326]
  • EVANESCE, an S-Plus library for heavy tail distributions and copulas...
  • not

  • Referenced in 2 articles [sw16502]
  • signal, piecewise-constant signal with a heavy-tailed noise, piecewise-linear signal, piecewise-quadratic signal...
  • Powerlaw

  • Referenced in 2 articles [sw29150]
  • Python package for analysis of heavy-tailed distributions. Power laws are theoretically interesting probability distributions...
  • gk

  • Referenced in 2 articles [sw20526]
  • which can model highly skewed or heavy tailed data through only four parameters: location...