Confidence intervals for Rosenthal's fail-safe number assuming a half normal distribution with a random number of studies {fsn} | R Documentation |
Confidence intervals for Rosenthal's fail-safe number assuming a half normal distribution with a random number of studies
Description
Confidence intervals for Rosenthal's fail-safe number assuming a half normal distribution with a random number of studies.
Usage
halfnorm.randomnr.ci(stat, se, alpha = 0.05, type = "dist")
Arguments
stat |
A vector with the statistics. |
se |
A vector with the standard errors of the stat. |
alpha |
The significance level, set to 0.05 by default. |
type |
The type of confidence intervals to construct. Based on distributional assumptions ("dist") or based on the method of moments ("mom") or both "both". |
Details
The function computes confidence intervals assuming a half normal distribution assuming that the number of studies is random and estimating the variance either via MLE or moments or bootstrap as described in Fragkos, Tsagris & Frangos (2014).
Value
A list including:
Nr |
Rosenthal's fail safe number. |
variance |
The variance of Rosenthal's fail safe number. |
ci |
The (1-alpha)% confidence interval for the true Rosenthal's fail safe number. |
Author(s)
Michail Tsagris and Constantinos Frangos
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Constantinos Frangos kfragkos@outlook.com.
References
Konstantinos C. Fragkos, Michail Tsagris and Christos C. Frangos (2014). Publication Bias in Meta-Analysis: Confidence Intervals for Rosenthal's Fail-Safe Number. International Scholarly Research Notices, Volume 2014.
See Also
halfnorm.fixednr.ci den.plot, rosenthal,
convergence.rate
Examples
stat <- rnorm(30, 3, 0.2)
se <- rchisq(30, 1)
halfnorm.fixednr.ci(stat, se)