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.

Total

27,958

Last month

920

Last week

167

Average per day

31

Daily downloads

Total downloads

Description file content

Package
poweRlaw
Type
Package
Title
Analysis of Heavy Tailed Distributions
Version
0.70.0
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 (>= 3.0.0)
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
5.0.1
NeedsCompilation
no
Packaged
2016-12-22 16:19:35 UTC; ncsg3
Author
Colin Gillespie [aut, cre]
Repository
CRAN
Date/Publication
2016-12-22 19:36:52

install.packages('poweRlaw')

0.70.0

6 months ago

https://github.com/csgillespie/poweRlaw

Colin Gillespie

GPL-2 | GPL-3

Depends on

R (>= 3.0.0)

Imports

VGAM, parallel, methods, utils, stats

Suggests

knitr, R.matlab, testthat, codetools

Discussions