NO.PING.PONG: Incorporating Previous Findings When Evaluating New Data

Functions for revealing what happens when effect size estimates from previous studies are taken into account when evaluating each new dataset in a study sequence. The analyses can be conducted for cumulative meta-analyses and for Bayesian data analyses. The package contains sample data for a wide selection of research topics. Jointly considering previous findings along with new data is more likely to result in correct conclusions than does the traditional practice of not incorporating previous findings, which often results in a back and forth ping-pong of conclusions when evaluating a sequence of studies. O'Connor & Ermacora (2021, <doi:10.3758/bf03200807>).

Version: 0.1.6
Imports: stats, metafor, MCMCglmm, MASS, utils
Suggests: lattice
Published: 2022-12-08
Author: Brian P. O'Connor
Maintainer: Brian P. O'Connor <brian.oconnor at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: NO.PING.PONG results


Reference manual: NO.PING.PONG.pdf


Package source: NO.PING.PONG_0.1.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): NO.PING.PONG_0.1.6.tgz, r-oldrel (arm64): NO.PING.PONG_0.1.6.tgz, r-release (x86_64): NO.PING.PONG_0.1.4.tgz, r-oldrel (x86_64): NO.PING.PONG_0.1.4.tgz
Old sources: NO.PING.PONG archive


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