Publication bias, the fact that studies identified for inclusion in a meta analysis do not represent all studies on the topic of interest, is commonly recognized as a threat to the validity of the results of a meta analysis. One way to explicitly model publication bias is via selection models or weighted probability distributions. In this package we provide implementations of several parametric and nonparametric weight functions. The novelty in Rufibach (2011) is the proposal of a nonincreasing variant of the nonparametric weight function of Dear & Begg (1992). The new approach potentially offers more insight in the selection process than other methods, but is more flexible than parametric approaches. To maximize the loglikelihood function proposed by Dear & Begg (1992) under a monotonicity constraint we use a differential evolution algorithm proposed by Ardia et al (2010a, b) and implemented in Mullen et al (2009). In addition, we offer a method to compute a confidence interval for the overall effect size theta, adjusted for selection bias as well as a function that computes the simulationbased pvalue to assess the null hypothesis of no selection as described in Rufibach (2011, Section 6).
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Author  Kaspar Rufibach <kaspar.rufibach@gmail.com> 
Date of publication  20150703 12:51:10 
Maintainer  Kaspar Rufibach <kaspar.rufibach@gmail.com> 
License  GPL (>= 2) 
Version  1.0.8 
URL  http://www.kasparrufibach.ch 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:

Package overview 
Functions  

DearBegg  Man page Source code 
DearBeggLoglik  Man page Source code 
DearBeggMonotone  Man page Source code 
DearBeggMonotoneCItheta  Man page Source code 
DearBeggMonotonePvalSelection  Man page Source code 
DearBeggProfileLL  Man page Source code 
DearBeggToMinimize  Man page Source code 
DearBeggToMinimizeProfile  Man page Source code 
Hij  Man page Source code 
IyenGreen  Man page 
IyenGreenLoglikT  Man page Source code 
IyenGreenMLE  Man page Source code 
IyenGreenWeight  Man page Source code 
Pval  Man page 
dPval  Man page Source code 
education  Man page 
effectBias  Man page Source code 
normalizeT  Man page Source code 
pPool  Man page Source code 
pPval  Man page Source code 
passive_smoking  Man page 
qPval  Man page Source code 
rPval  Man page Source code 
selectMeta  Man page 
selectMetapackage  Man page 
weightLine  Man page Source code 
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