base, HSAUR3, roxygen2, knitr, rmarkdown

Tools for Two-Dimensional Monte-Carlo Simulations
Regis Pouillot <rpouillot@yahoo.fr>, Marie Laure
Delignette-Muller <ml.delignette@vetagro-sup.fr> and
Jean-Baptiste Denis <jbdenis@jouy.inra.fr>
Various distributions and utilities to ease the use of R
to build and study Two-Dimensional Monte-Carlo simulations

Regis Pouillot <rpouillot@yahoo.fr>, Marie Laure Delignette-Muller <ml.delignette@vetagro-sup.fr> and Jean-Baptiste
Denis <jbdenis@jouy.inra.fr>
Various distributions and utilities to ease the use of R to build and study Two-Dimensional Monte-Carlo simulations

c(person("Regis", "Pouillot", role = c("aut", "cre"), email
= "rpouillot@yahoo.fr"), person("Marie-Laure",
"Delignette-Muller", role = "ctb", email=
"ml.delignette@vetagro-sup.fr"), person("Jean-Baptiste",
"Denis", role = "ctb", email = "jbdenis@jouy.inra.fr"))

c(person("Regis", "Pouillot", role = c("aut", "cre"), email = "rpouillot@yahoo.fr"),
person("Marie-Laure", "Delignette-Muller", role = "ctb", email= "ml.delignette@vetagro-sup.fr"),
person("Jean-Baptiste", "Denis", role = "ctb", email = "jbdenis@jouy.inra.fr"))
Regis Pouillot [aut, cre],
Marie-Laure Delignette-Muller [ctb],
Jean-Baptiste Denis [ctb]

A complete framework to build and study Two-Dimensional Monte-Carlo simulations, aka Second-Order Monte-Carlo simulations. Also includes various distributions (pert, triangular, Bernoulli, empirical discrete and continuous).

fitdistrplus, survival, testthat (>= 3.0.0)

Regis Pouillot <rpouillot@yahoo.fr>, Marie Laure
Delignette-Muller <ml.delignette@vet-lyon.fr> and Jean-Baptiste
Denis <jbdenis@jouy.inra.fr>

Monte Carlo Based Tests for the Behrens Fisher Problem as an
Alternative to Welch's t-Approximation
Monte Carol based tests for the Behrens Fisher Problem enhance the statistical power
and performs better than Welch's t-approximation, see Ullah et al. (2019).

Global optimization using Monte Carlo and Quasi Monte Carlo
simulation
The package performs global optimization combining Monte Carlo and Quasi Monte Carlo simulation with a local search. \n       The local searches can be easily speeded-up by using a network of local workstations.