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NO.PING.PONG  

Incorporating Previous Findings When Evaluating New Data
View on CRAN: Click here


Download and install NO.PING.PONG package within the R console
Install from CRAN:
install.packages("NO.PING.PONG")

Install from Github:
library("remotes")
install_github("cran/NO.PING.PONG")

Install by package version:
library("remotes")
install_version("NO.PING.PONG", "0.1.8.7")



Attach the package and use:
library("NO.PING.PONG")
Maintained by
Brian P. O'Connor
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-05
Latest Update: 2022-12-08
Description:
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, ).
How to cite:
Brian P. O'Connor (2021). NO.PING.PONG: Incorporating Previous Findings When Evaluating New Data. R package version 0.1.8.7, https://cran.r-project.org/web/packages/NO.PING.PONG
Previous versions and publish date:
0.1.4 (2021-07-05 10:00), 0.1.6 (2022-12-08 13:22)
Other packages that cited NO.PING.PONG R package
View NO.PING.PONG citation profile
Other R packages that NO.PING.PONG depends, imports, suggests or enhances
Functions, R codes and Examples using the NO.PING.PONG R package
Some associated functions: CONVERT_ES . NO.PING.PONG-package . NO.PING.PONG . PLOT_NO.PING.PONG . data_NPP . 
Some associated R codes: CONVERT_ES.R . NO.PING.PONG.R . PLOT_NO.PING.PONG.R . boc.R . onAttach.R .  Full NO.PING.PONG package functions and examples
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