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: |
0.1.4 |
| Imports: |
stats, metafor, MCMCglmm, MASS |
| Suggests: |
lattice |
| Published: |
2021-07-05 |
| Author: |
Brian P. O'Connor |
| Maintainer: |
Brian P. O'Connor <brian.oconnor at ubc.ca> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
NO.PING.PONG results |
Documentation:
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