person("Dylan", "Beaudette", role = "ctb"))

person("Dennis", "Eberl", role = "ctb"))

shinyWidgets (>= 0.4.3), baseline (>= 1.2), tidyr (>= 0.8)

Title: Power and Reversal Power Distributions
Authors@R: c(person("Susan", "Anyosa", email = "susanaliciach@gmail.com", role = c("aut", "cre")),person("Jorge Luis", "Bazán", role = "ctb"))
Description: Density, distribution function, quantile function and random generation for the family of power and reversal power distributions.

Authors@R: c(person("Susan", "Anyosa", email = "susanaliciach@gmail.com", role = c("aut", "cre")),person("Jorge Luis", "Bazán", role = "aut"))

Authors@R: c(person("Susan", "Anyosa", email = "susanaliciach@gmail.com", role = c("aut", "cre")), person("Jorge Luis", "Bazán Guzmán", role = "aut"), person("Artur", "Lemonte", role = "aut"))
Imports: stats, rmutil, gamlss.dist, normalp

Title: Fitting heavy tailed distributions: the poweRlaw package
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

Authors@R: person(given="Colin", family="Gillespie", email="csgillespie@gmail.com", role = c("aut",
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.

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

Title: Analysis of Heavy Tailed Distributions
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

Imports: VGAM, parallel, methods, utils, stats
'get_n.R' 'get_ntail.R' 'lines_methods.R' 'plcon.R' 'pldis.R'