Package: NO.PING.PONG 0.1.8.7

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:10.1037/cbs0000259>).

Authors:Brian P. O'Connor

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 0.09 score 17 dependencies 231 downloads

Last updated 6 months agofrom:b45d15f643. Checks:OK: 7. Indexed: yes.

Exports:CONVERT_ESNO.PING.PONGPLOT_NO.PING.PONG

Dependencies:apecodacorpcorcubaturedigestlatticeMASSmathjaxrMatrixMCMCglmmmetadatmetafornlmenumDerivpbapplyRcpptensorA