c(
person("Benjamin", "Butler", email = "benjamin.butler@hutton.ac.uk",
role = c("aut", "cre")),
person("Stephen", "Hillier", email = "stephen.hillier@hutton.ac.uk",
role = "aut"),
person("Dylan", "Beaudette", role = "ctb"),
person("Dennis", "Eberl", role = "ctb"))
Benjamin Butler [aut, cre],
Stephen Hillier [aut],
Dylan Beaudette [ctb],
Dennis Eberl [ctb]

Full pattern summation of X-ray powder diffraction data as
described in Chipera and Bish (2002) <doi:10.1107/S0021889802017405> and
Butler and Hillier (2021) <doi:10.1016/j.cageo.2020.104662>.
Derives quantitative estimates of crystalline and amorphous phase
concentrations in complex mixtures.

c(person("Susan", "Anyosa", email = "susanaliciach@gmail.com", role = c("aut", "cre")),person("Jorge Luis", "Bazán", role = "ctb"))
Susan Anyosa [aut, cre],
Jorge Luis Bazán [ctb]
Density, distribution function, quantile function and random generation for the family of power and reversal power distributions.

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

c(person("Susan", "Anyosa", email = "susanaliciach@gmail.com", role = c("aut", "cre")), person("Jorge Luis", "Bazán Guzmán", role = "aut"), person("Artur", "Lemonte", role = "aut"))
Susan Anyosa [aut, cre],
Jorge Luis Bazán Guzmán [aut],
Artur Lemonte [aut]

Fitting heavy tailed distributions: the poweRlaw package
person("Gillespie", "Colin",
email="colin.gillespie@newcastle.ac.uk", role = c("aut",
"cre"))
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.
'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'