Functions for clustering regions that form convergence clubs, according to the definition of Phillips and Sul (2009) <doi:10.1002/jae.1080>. A package description is available in Sichera and Pizzuto (2019).
c(
person("Roberto", "Sichera",, "rob.sichera@gmail.com", c("aut", "cre", "cph")),
person("Pietro", "Pizzuto",, "pietro.pizzuto02@unipa.it", "aut")
)

P. Lafaye de Micheaux <Pierre.Lafaye-de-Micheaux@upmf-grenoble.fr>, B. Liquet <Benoit.Liquet@isped.u-bordeaux2.fr>.
P. Lafaye de Micheaux <Pierre.Lafaye-de-Micheaux@upmf-grenoble.fr>
This package provides a way to investigate various modes of convergence of random variables.

P. Lafaye de Micheaux <lafaye@dms.umontreal.ca>, B. Liquet
<Benoit.Liquet@isped.u-bordeaux2.fr>.
This package provides a way to investigate various modes
of convergence of random variables.

P. Lafaye de Micheaux <lafaye@dms.umontreal.ca>, B. Liquet <Benoit.Liquet@isped.u-bordeaux2.fr>.

P. Lafaye de Micheaux <lafaye@unsw.edu.au>, B. Liquet <Benoit.Liquet@isped.u-bordeaux2.fr>.
This is a pedagogical package, designed to help students understanding convergence of
random variables. It provides a way to investigate interactively various modes of
convergence (in probability, almost surely, in law and in mean) of a sequence of i.i.d.
random variables. Visualisation of simulated sample paths is possible through interactive
plots. The approach is illustrated by examples and exercises through the function
'investigate', as described in
Lafaye de Micheaux and Liquet (2009) <http://dx.doi.org/10.1198/tas.2009.0032>.
The user can study his/her own sequences of random variables.
R (>= 2.5.0), tcltk, tkrplot, lattice, grDevices

c(person("Pierre", "Lafaye De Micheaux", role = c("aut", "cre"),
email = "lafaye@unsw.edu.au"),
person("Benoit", "Liquet", role = c("aut"),
email = "Benoit.Liquet@isped.u-bordeaux2.fr"))
This is a pedagogical package, designed to help students understanding convergence of
random variables. It provides a way to investigate interactively various modes of
convergence (in probability, almost surely, in law and in mean) of a sequence of i.i.d.
random variables. Visualisation of simulated sample paths is possible through interactive
plots. The approach is illustrated by examples and exercises through the function
'investigate', as described in
Lafaye de Micheaux and Liquet (2009) <doi:10.1198/tas.2009.0032>.
The user can study his/her own sequences of random variables.
Pierre Lafaye De Micheaux [aut, cre],
Benoit Liquet [aut]