期刊
PLOS ONE
卷 9, 期 1, 页码 -出版社
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0085777
关键词
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资金
- National Institute of MentalHealth
- Wellcome Trust
- Medical Research Council (UK)
- National Institutes of Health-Oxford-Cambridge Scholarship Program
- GlaxoSmithKline (GSK)
- Medical Research Council [G1000183B, G0001354B, G0001354] Funding Source: researchfish
- National Institute for Health Research [NF-SI-0513-10051] Funding Source: researchfish
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.
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