24 Forks
98 Stars
98 Watchers

poweRlaw

 r
This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cutoff for the scaling region.

How to download and setup poweRlaw

Open terminal and run command
git clone https://github.com/csgillespie/poweRlaw.git
git clone is used to create a copy or clone of poweRlaw repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with poweRlaw https://github.com/csgillespie/poweRlaw/archive/master.zip

Or simply clone poweRlaw with SSH
[email protected]:csgillespie/poweRlaw.git

If you have some problems with poweRlaw

You may open issue on poweRlaw support forum (system) here: https://github.com/csgillespie/poweRlaw/issues

Similar to poweRlaw repositories

Here you may see poweRlaw alternatives and analogs

 graal    adv-r    libRmath.js    LightGBM    prophet    mal    h2o-3    ggplot2    awesome-R    catboost    shiny    dplyr    data-science-at-the-command-line    devtools    knitr    benchm-ml    r4ds    plotly.R    rmarkdown    DataScienceR    mlr    DiagrammeR    awesome-quant    IRkernel    arl    swirl    blogdown    broom    wesanderson    httr