About Anaconda Help Download Anaconda

An implementation of maximum likelihood estimators for a variety of heavy tailed distributions, including both the discrete and continuous power law distributions. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region.

copied from cf-staging / r-powerlaw
Type Size Name Uploaded Downloads Labels
conda 3.0 MB | noarch/r-powerlaw-0.70.6-r42hc72bb7e_3.conda  2 years and 2 months ago 1813 main
conda 3.0 MB | noarch/r-powerlaw-0.70.6-r43hc72bb7e_3.conda  2 years and 2 months ago 2060 main
conda 3.2 MB | noarch/r-powerlaw-0.70.6-r41hc72bb7e_2.tar.bz2  2 years and 10 months ago 2358 main
conda 3.2 MB | noarch/r-powerlaw-0.70.6-r42hc72bb7e_2.tar.bz2  2 years and 10 months ago 2374 main
conda 3.2 MB | noarch/r-powerlaw-0.70.6-r41hc72bb7e_1.tar.bz2  4 years and 3 months ago 3683 main
conda 3.2 MB | noarch/r-powerlaw-0.70.6-r40hc72bb7e_1.tar.bz2  4 years and 3 months ago 3383 main
conda 3.2 MB | noarch/r-powerlaw-0.70.6-r40h6115d3f_1.tar.bz2  5 years and 3 months ago 3862 main
conda 3.1 MB | noarch/r-powerlaw-0.70.6-r36h6115d3f_1.tar.bz2  5 years and 3 months ago 3649 main
conda 3.1 MB | noarch/r-powerlaw-0.70.6-r36h6115d3f_0.tar.bz2  5 years and 4 months ago 3275 main
conda 3.2 MB | noarch/r-powerlaw-0.70.6-r35h6115d3f_0.tar.bz2  5 years and 4 months ago 3374 main

© 2025 Anaconda, Inc. All Rights Reserved. (v4.2.0) Legal | Privacy Policy