DESCRIPTION

Package: ptsuite
Title: Tail Index Estimation for Power Law Distributions
Version: 1.0.0
Authors@R: c(person("Ranjiva", "Munasinghe", email = "ranjiva@mindlanka.org", 
  role = "aut"),
  person("Pathum", "Kossinna", email = "pathum@mindlanka.org", 
  role = c("cre", "aut")),
  person("Dovini", "Jayasinghe", email = "dovini@mindlanka.org", 
  role = "aut"),
  person("Dilanka", "Wijeratne", email = "dilanka@mindlanka.org", 
  role = "aut"))
Description: Various estimation methods for the shape parameter of Pareto
    distributed data. This package contains functions for various estimation 
    methods such as maximum likelihood 
    (Newman, 2005)<doi:10.1016/j.cities.2012.03.001>, 
    Hill's estimator (Hill, 1975)<doi:10.1214/aos/1176343247>, 
    least squares (Zaher et al., 2014)<doi:10.9734/BJMCS/2014/10890>, 
    method of moments (Rytgaard, 1990)<doi:10.2143/AST.20.2.2005443>, 
    percentiles (Bhatti et al., 2018)<doi:10.1371/journal.pone.0196456>,
    and weighted least squares (Nair et al., 2019) to estimate the shape 
    parameter of Pareto distributed data. It also provides both a heuristic 
    method (Hubert et al., 2013)<doi:10.1016/j.csda.2012.07.011> and a 
    goodness of fit test 
    (Gulati and Shapiro, 2008)<doi:10.1007/978-0-8176-4619-6> for testing for 
    Pareto data as well as a method for generating Pareto distributed data.
Depends: R (>= 3.5.0)
License: GPL-3
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp
RoxygenNote: 6.1.1
Suggests: plotly