Title: BLUE for Combining Location and Scale Information in a
person("Xin", "Yang", email = "xyang.krystal@gmail.com", role = c("cre","aut")),
person("Alan", "Hutson", email = "Alan.Hutson@roswellpark.org", role = "aut"),
person("Dongliang", "Wang", email = "WangD@upstate.edu", role = "aut"))
Description: The sample mean and standard deviation are two commonly used statistics in meta-analyses,
but some trials use other summary statistics such as the median and quartiles to report the results.
Therefore, researchers need to transform those information back to the sample mean and
standard deviation. This package implemented sample mean estimators by Luo et al. (2016) <arXiv:1505.05687>, sample standard deviation estimators by Wan et al. (2014) <arXiv:1407.8038>, and the best linear unbiased estimators (BLUEs) of location and scale parameters by Yang et al. (2018, submitted) based on sample quantiles derived summaries in a meta-analysis.

Title: Bayesian Model Averaging for Random and Fixed Effects
person("Quentin F.", "Gronau", email="quentingronau@web.de", role = c("ctb")),
person("Eric-Jan", "Wagenmakers", email="ej.wagenmakers@gmail.com", role = c("ctb")))
Description: Computes the posterior model probabilities for four meta-analysis models
(null model vs. alternative model assuming either fixed- or random-effects, respectively).
These posterior probabilities are used to estimate the overall mean effect size
as the weighted average of the mean effect size estimates of the random- and
fixed-effect model as proposed by Gronau, Van Erp, Heck, Cesario, Jonas, &
a wide range of noninformative or informative priors for the mean effect size
and the heterogeneity coefficient. Funding for this research was provided by
the Berkeley Initiative for Transparency in the Social Sciences, a program of
the Center for Effective Global Action (CEGA), with support from the Laura and
Imports: mvtnorm, logspline, coda, runjags, LaplacesDemon

person("Quentin F.", "Gronau", email="quentingronau@web.de", role = c("aut")),
person("Eric-Jan", "Wagenmakers", email="ej.wagenmakers@gmail.com", role = c("aut")))