poweRlaw

Analysis of Heavy Tailed Distributions

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.

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Description file content

Package
poweRlaw
Type
Package
Title
Analysis of Heavy Tailed Distributions
Version
0.70.1
Maintainer
Colin Gillespie
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
BugReports
https://github.com/csgillespie/poweRlaw/issues
Depends
R (>= 3.1.0)
Imports
VGAM, parallel, methods, utils, stats
Suggests
knitr, R.matlab, testthat, codetools
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
6.0.1
NeedsCompilation
no
Packaged
2017-08-29 15:43:11 UTC; ncsg3
Author
Colin Gillespie [aut, cre]
Repository
CRAN
Date/Publication
2017-08-29 17:07:54 UTC

install.packages('poweRlaw')

0.70.1

a month ago

https://github.com/csgillespie/poweRlaw

Colin Gillespie

GPL-2 | GPL-3

Depends on

R (>= 3.1.0)

Imports

VGAM, parallel, methods, utils, stats

Suggests

knitr, R.matlab, testthat, codetools

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