DESCRIPTION

Type: Package
Package: poweRlaw
Title: Analysis of Heavy Tailed Distributions
Version: 0.70.6.9001
Authors@R: 
    person(given = "Colin",
           family = "Gillespie",
           role = c("aut", "cre"),
           email = "csgillespie@gmail.com",
           comment = c(ORCID = "0000-0003-1787-0275"))
Maintainer: Colin Gillespie <csgillespie@gmail.com>
Description: 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.
License: GPL-2 | GPL-3
URL: https://github.com/csgillespie/poweRlaw
BugReports: https://github.com/csgillespie/poweRlaw/issues
Depends:
    R (>= 3.4.0)
Imports:
    methods,
    parallel,
    pracma,
    stats,
    utils
Suggests:
    covr,
    knitr,
    testthat
VignetteBuilder: 
    knitr
ByteCompile: true
Encoding: UTF-8
RoxygenNote: 7.1.0
Collate:
    'aaa_all_classes.R'
    'all_generics.R'
    'bootstrap.R'
    'bootstrap_p.R'
    'checks.R'
    'compare_distributions.R'
    'conlnorm.R'
    'data_help_files.R'
    'def_conexp.R'
    'def_conpl.R'
    'def_conweibull.R'
    'def_disexp.R'
    'def_dislnorm.R'
    'def_displ.R'
    'def_dispois.R'
    'def_template.R'
    'dist_data_cdf_methods.R'
    'estimate_pars.R'
    'estimate_xmin.R'
    'get_n.R'
    'get_ntail.R'
    'lines_methods.R'
    'plcon.R'
    'pldis.R'
    'plot_methods.R'
    'points_methods.R'
    'powerlaw-package.R'
    'show_methods.R'
    'timer.R'