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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.
Version: | 1.2.3 |
Depends: | R (≥ 2.5.0), tcltk, tkrplot, lattice, grDevices |
Published: | 2022-08-18 |
DOI: | 10.32614/CRAN.package.ConvergenceConcepts |
Author: | Pierre Lafaye De Micheaux [aut, cre], Benoit Liquet [aut] |
Maintainer: | Pierre Lafaye De Micheaux <lafaye at unsw.edu.au> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Citation: | ConvergenceConcepts citation info |
CRAN checks: | ConvergenceConcepts results |
Reference manual: | ConvergenceConcepts.pdf |
Package source: | ConvergenceConcepts_1.2.3.tar.gz |
Windows binaries: | r-devel: ConvergenceConcepts_1.2.3.zip, r-release: ConvergenceConcepts_1.2.3.zip, r-oldrel: ConvergenceConcepts_1.2.3.zip |
macOS binaries: | r-release (arm64): ConvergenceConcepts_1.2.3.tgz, r-oldrel (arm64): ConvergenceConcepts_1.2.3.tgz, r-release (x86_64): ConvergenceConcepts_1.2.3.tgz, r-oldrel (x86_64): ConvergenceConcepts_1.2.3.tgz |
Old sources: | ConvergenceConcepts archive |
Reverse suggests: | meboot |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.