rtma_cdf: Compute theoretical and empirical CDFs for a right-truncated...
In phacking: Sensitivity Analysis for p-Hacking in Meta-Analyses
rtma_cdf R Documentation
Compute theoretical and empirical CDFs for a right-truncated meta-analysis
Description
Compute theoretical and empirical CDFs for a right-truncated meta-analysis
Usage
rtma_cdf(rtma)
Arguments
rtma
Output of phacking_meta().
Value
A tibble with the columns yi (effect sizes), cdfi
(their fitted CDF) and ecdfi (their empirical CDF).
A data frame with the CDF derived from a metabias object.
References
\insertRefmathur2022phackingmetabias
Examples
money_priming_rtma <- phacking_meta(money_priming_meta$yi,
money_priming_meta$vi,
parallelize = FALSE)
rtma_cdf(money_priming_rtma)
phacking documentation built on July 26, 2023, 5:22 p.m.
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| rtma_cdf | R Documentation |
Compute theoretical and empirical CDFs for a right-truncated meta-analysis
Description
Compute theoretical and empirical CDFs for a right-truncated meta-analysis
Usage
rtma_cdf(rtma)
Arguments
rtma |
Output of |
Value
A tibble with the columns yi (effect sizes), cdfi
(their fitted CDF) and ecdfi (their empirical CDF).
A data frame with the CDF derived from a metabias object.
References
\insertRefmathur2022phackingmetabias
Examples
money_priming_rtma <- phacking_meta(money_priming_meta$yi,
money_priming_meta$vi,
parallelize = FALSE)
rtma_cdf(money_priming_rtma)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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