Over the last few years, the power law distribution has been used as the data generating mechanism in many disparate fields. However, at times the techniques used to fit the power law distribution have been inappropriate. This paper describes the poweRlaw R package, which makes fitting power laws and other heavy-tailed distributions straightforward. This package contains R functions for fitting, comparing and visualizing heavy tailed distributions. Overall, it provides a principled approach to power law fitting
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138264/1/sign1050.pd
<p>Data, R code and results for: Thelwall, M. (n press). The Discretised Lognormal and Hooked Power ...
<p>For each degree distribution we give a p-value for the fit to the power-law model and likelihood ...
Over the last few years, the power law distribution has been used as the data generating mechanism i...
<div><p>Power laws are theoretically interesting probability distributions that are also frequently ...
Power laws are theoretically interesting probability distributions that are also frequently used to ...
Power laws are theoretically interesting probability distributions that are also frequently used to ...
<p>Example data for power law fitting are a good fit (left column), medium fit (middle column) and p...
Many empirical datasets have highly skewed, non-Gaussian, heavy-tailed distributions, domi...
Many empirical datasets have highly skewed, non-Gaussian, heavy-tailed distributions, dominated by a...
The poweRlaw package provides an easy to use interface for fitting and visualising heavy tailed dist...
Power law distributions, also known as heavy tail distributions, model distinct real life phenomena...
In this report I present the state-of-art techniques of fitting power-law distribution to empirical ...
Power-law distributions occur in many situations of scientific interest and have significant consequ...
Recently, Clauset, Shalizi, and Newman have proposed a systematic method to find over which range (i...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138264/1/sign1050.pd
<p>Data, R code and results for: Thelwall, M. (n press). The Discretised Lognormal and Hooked Power ...
<p>For each degree distribution we give a p-value for the fit to the power-law model and likelihood ...
Over the last few years, the power law distribution has been used as the data generating mechanism i...
<div><p>Power laws are theoretically interesting probability distributions that are also frequently ...
Power laws are theoretically interesting probability distributions that are also frequently used to ...
Power laws are theoretically interesting probability distributions that are also frequently used to ...
<p>Example data for power law fitting are a good fit (left column), medium fit (middle column) and p...
Many empirical datasets have highly skewed, non-Gaussian, heavy-tailed distributions, domi...
Many empirical datasets have highly skewed, non-Gaussian, heavy-tailed distributions, dominated by a...
The poweRlaw package provides an easy to use interface for fitting and visualising heavy tailed dist...
Power law distributions, also known as heavy tail distributions, model distinct real life phenomena...
In this report I present the state-of-art techniques of fitting power-law distribution to empirical ...
Power-law distributions occur in many situations of scientific interest and have significant consequ...
Recently, Clauset, Shalizi, and Newman have proposed a systematic method to find over which range (i...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138264/1/sign1050.pd
<p>Data, R code and results for: Thelwall, M. (n press). The Discretised Lognormal and Hooked Power ...
<p>For each degree distribution we give a p-value for the fit to the power-law model and likelihood ...