Authors@R: c(person("Han", "Du", role = "aut",
person("Ge", "Jiang", role = c("aut", "cre"), email = "gejiang2@illinois.edu"),
Description: Implements a Monte Carlo Based Heterogeneity Test for standardized mean differences (d), Fisher-transformed Pearson's correlations (r), and natural-logarithm-transformed odds ratio (OR) in Meta-Analysis Studies. Depending on the presence of moderators, this Monte Carlo Based Test can be implemented in the random or mixed-effects model. This package uses rma() function from the R package 'metafor' to obtain parameter estimates and likelihood, so installation of R package 'metafor' is required. This approach refers to the studies of Hedges (1981) <doi:10.3102/10769986006002107>, Hedges & Olkin (1985, ISBN:978-0123363800), Silagy, Lancaster, Stead, Mant, & Fowler (2004) <doi:10.1002/14651858.CD000146.pub2>, Viechtbauer (2010) <doi:10.18637/jss.v036.i03>, and Zuckerman (1994, ISBN:978-0521432009).
Imports: stats, metafor, utils, boot.heterogeneity

Suggests: base, HSAUR3, roxygen2, knitr, rmarkdown

Title: Tools for Two-Dimensional Monte-Carlo Simulations
Author: Regis Pouillot <rpouillot@yahoo.fr>, Marie Laure
Description: Various distributions and utilities to ease the use of R
to build and study Two-Dimensional Monte-Carlo simulations

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

Authors@R: c(person("Regis", "Pouillot", role = c("aut", "cre"), email
"Delignette-Muller", role = "ctb", email=
"Denis", role = "ctb", email = "jbdenis@jouy.inra.fr"))

Authors@R: 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"))

Description: 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).