Package: poweRlaw
Type: Package
Title: Fitting heavy tailed distributions: the poweRlaw package
Version: 0.20.2
Date: 2013-12-19
Authors@R: person(given="Colin", family="Gillespie", email="csgillespie@gmail.com", role = c("aut",
           "cre"))
Maintainer: Colin Gillespie <csgillespie@gmail.com>
Description: 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 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' 'all_classes_ctn.R'
        'all_classes_discrete.R' 'AllGenerics.R' 'bootstrap_p.R'
        'bootstrap.R' 'ctn_helper_functions.R' 'data_help_files.R'
        'discrete_helper_functions.R' 'dist_cdf-methods.R'
        'dist_data_cdf-methods.R' 'dist_ll-methods.R'
        'dist_pdf-methods.R' 'dist_rand-methods.R' 'estimate_pars.R'
        'estimate_xmin.R' 'initialize-methods.R' 'lines-methods.R'
        'mle-methods.R' 'plcon.R' 'pldis.R' 'plot-methods.R'
        'points-methods.R' 'poweRlaw-package.R' 'checks.R'
        'compare_distributions.R'
Packaged: 2013-12-19 17:13:35 UTC; ncsg3
Author: Colin Gillespie [aut, cre]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-19 19:46:34
