c(
person("Alex", "Hayes", , "alexpghayes@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-4985-5160")),
person("Ralph", "Moller-Trane", role = "aut"),
person("Emil", "Hvitfeldt", , "emilhhvitfeldt@gmail.com", role = "ctb",
comment = c(ORCID = "0000-0002-0679-1945")),
person("Daniel", "Jordan", , "dandermotj@gmail.com", role = "aut"),
person("Paul", "Northrop", , "p.northrop@ucl.ac.uk", role = "aut"),
person("Moritz N.", "Lang", , "moritz.n.lang@gmail.com", role = "aut",
comment = c(ORCID = "0000-0002-2533-9903")),
person("Achim", "Zeileis", , "Achim.Zeileis@R-project.org", role = "aut",
comment = c(ORCID = "0000-0003-0918-3766")),
person("Bruna", "Wundervald", , "brunadaviesw@gmail.com", role = "ctb"),
person("Alessandro", "Gasparini", , "alessandro.gasparini@ki.se", role = "ctb")
)
Tools to create and manipulate probability distributions
using S3.  Generics random(), pdf(), cdf() and quantile() provide
replacements for base R's r/d/p/q style functions.  Functions and
arguments have been named carefully to minimize confusion for students
in intro stats courses. The documentation for each distribution
contains detailed mathematical notes.
covr, cowplot, knitr, revdbayes (>= 1.3.5), rmarkdown,
testthat (>= 3.0.0)
Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>),
Ralph Moller-Trane [aut],
Emil Hvitfeldt [ctb] (<https://orcid.org/0000-0002-0679-1945>),
Daniel Jordan [aut],
Paul Northrop [aut],
Moritz N. Lang [aut] (<https://orcid.org/0000-0002-2533-9903>),
Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>),
Bruna Wundervald [ctb],
Alessandro Gasparini [ctb]

Tools to create and manipulate probability distributions
using S3.  Generics pdf(), cdf(), quantile(), and random() provide
replacements for base R's d/p/q/r style functions.  Functions and
arguments have been named carefully to minimize confusion for students
in intro stats courses. The documentation for each distribution
contains detailed mathematical notes.

person("Ruben", "Dewitte", email = "ruben0dewitte@gmail.com", role = c("aut", "cre"))
A library of density, distribution function, quantile function, (bounded) raw moments and random generation for a collection of distributions relevant for the firm size literature. Additionally, the package contains tools to fit these distributions using maximum likelihood and evaluate these distributions based on (i) log-likelihood ratio and (ii) deviations between the empirical and parametrically implied moments of the distributions. We add flexibility by allowing the considered distributions to be combined into piecewise composite or finite mixture distributions, as well as to be used when truncated. See Dewitte (2020) <https://hdl.handle.net/1854/LU-8644700> for a description and application of methods available in this package.
Rdpack, stats, flexmix, modeltools, methods