Package: poweRlaw
Type: Package
Title: Analysis of Heavy Tailed Distributions
Version: 0.30.2
Date: 2015-04-16
Authors@R: person(given="Colin", family="Gillespie",
    email="csgillespie@gmail.com", role = c("aut", "cre"))
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.
URL: https://github.com/csgillespie/poweRlaw
BugReports: https://github.com/csgillespie/poweRlaw/issues
Depends: R (>= 3.0.0), methods
Imports: VGAM, parallel
Suggests: knitr, R.matlab
VignetteBuilder: knitr
License: GPL-2 | GPL-3
Collate: 'aaa_all_classes.R' 'AllGenerics.R' 'bootstrap.R'
        'bootstrap_p.R' 'checks.R' 'compare_distributions.R'
        'ctn_helper_functions.R' 'data_help_files.R' 'def_conexp.R'
        'def_conlorm.R' 'def_conpl.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'
        'lines_methods.R' 'plcon.R' 'pldis.R' 'plot_methods.R'
        'points_methods.R' 'poweRlaw-package.R' 'show_methods.R'
Packaged: 2015-04-16 15:59:43 UTC; ncsg3
Author: Colin Gillespie [aut, cre]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-04-16 19:53:52
Built: R 3.0.3; ; 2015-04-16 22:53:09 UTC; windows
