R/poweRlaw-package.R

#' The poweRlaw package
#' 
#' The poweRlaw package aims to make fitting power laws and other heavy-tailed distributions 
#' straightforward. This package contains R functions for fitting, comparing and visualising heavy
#' tailed distributions. Overall, it provides a principled approach to fitting power laws to data.
#' 
#' The code developed in this package has 
#' been heavily influenced from the python and R code found at:
#' \url{http://tuvalu.santafe.edu/~aaronc/powerlaws/} . 
#' In particular, the R code of Laurent Dubroca and Cosma Shalizi.
#' @name poweRlaw-package 
#' @references A. Clauset, C.R. Shalizi, and M.E.J. Newman, 
#' "Power-law distributions in empirical data" SIAM Review 51(4), 661-703 (2009). 
#' @aliases poweRlaw powerlaw powerlaw-package
#' @docType package
#' @author \email{[email protected]@newcastle.ac.uk}
#' @keywords package
#' @seealso \url{https://github.com/csgillespie/poweRlaw}
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csgillespie/poweRlaw documentation built on April 8, 2018, 5:38 p.m.