poweRlaw : Analysis of Heavy Tailed Distributions

Package: poweRlaw
Type: Package
Title: Analysis of Heavy Tailed Distributions
Version: 0.60.3
Date: 2016-04-10
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)
Imports: VGAM, parallel, methods, utils, stats
Suggests: knitr, R.matlab, testthat
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_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'
ByteCompile: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-04-11 20:27:29 UTC; ncsg3
Author: Colin Gillespie [aut, cre]
Repository: CRAN
Date/Publication: 2016-04-12 01:26:34