R port and many enhancements by Brian Ripley <ripley@stats.ox.ac.uk>.

enhancements by Brian Ripley <ripley@stats.ox.ac.uk>.

Title: A Bootstrap-Based Heterogeneity Test for Meta-Analysis
Authors@R: c(person("Ge", "Jiang", role = c("aut", "cre"),
person("Han", "Du", role = "aut", email = "hdu@psych.ucla.edu"),
person("Zijun", "Ke", role = "ctb", email = "keziyun@mail.sysu.edu.cn"))
Description: Implements a bootstrap-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 likelihoods, so installation of R package 'metafor' is required. This approach refers to the studies of Anscombe (1956) <doi:10.2307/2332926>, Haldane (1940) <doi:10.2307/2332614>, 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, pbmcapply
Suggests: base, HSAUR2, roxygen2, parallel, knitr, rmarkdown,

Suggests: base, HSAUR3, roxygen2, parallel, knitr, rmarkdown, testthat

Imports: stats, metafor, utils, pbmcapply, HSAUR3, knitr, rmarkdown
Suggests: base, roxygen2, parallel, testthat

Description: Computation of bootstrap p-values through inversion of confidence intervals, including convenience functions for regression models.
Imports: boot, Rdpack, car, stats, lme4, survival

Title: Bootstrapping the Autoregressive Distributed Lags Tests for
Description: The bootstrap Autoregressive Distributed Lags (ARDL) tests for cointegration is the main functionality of this package. It also acts as a wrapper of the most commond ARDL testing procedures for cointegration: the bound tests of Pesaran, Shin and Smith (commonly PSS; 2001 - <doi:10.1002/jae.616>) and the asymptotic test on the independent variables of Sam, McNown and Goh (hence SMG: 2019 - <doi:10.1016/j.econmod.2018.11.001>). Bootstrap and bound tests are performed under both the conditional and unconditional ARDL models.
Imports: Rcpp (>= 1.0.7), pracma, aod, ARDL, dynamac, vars, gtools,
Packaged: 2022-03-17 10:10:23 UTC; gianmarco.vacca