Alstott Jeff, Bullmore Ed, Plenz Dietmar
Section on Critical Brain Dynamics, National Institute of Mental Health, Bethesda, Maryland, United States of America ; Brain Mapping Unit, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom.
Brain Mapping Unit, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom.
PLoS One. 2014 Jan 29;9(1):e85777. doi: 10.1371/journal.pone.0085777. eCollection 2014.
Power laws are theoretically interesting probability distributions that are also frequently used to describe empirical data. In recent years, effective statistical methods for fitting power laws have been developed, but appropriate use of these techniques requires significant programming and statistical insight. In order to greatly decrease the barriers to using good statistical methods for fitting power law distributions, we developed the powerlaw Python package. This software package provides easy commands for basic fitting and statistical analysis of distributions. Notably, it also seeks to support a variety of user needs by being exhaustive in the options available to the user. The source code is publicly available and easily extensible.
幂律是理论上有趣的概率分布，也经常用于描述经验数据。近年来，已经开发出了用于拟合幂律的有效统计方法，但要恰当地使用这些技术需要大量的编程和统计洞察力。为了大幅降低使用良好统计方法拟合幂律分布的障碍，我们开发了Python幂律软件包。这个软件包为分布的基本拟合和统计分析提供了简单的命令。值得注意的是，它还试图通过为用户提供详尽的选项来满足各种用户需求。源代码是公开可用的，并且易于扩展。
