R (>= 2.10), sp, methods, grid, shiny, shinyBS

R (>= 2.10), sp, methods, grid, shiny, shinyBS, caTools

Bayesian inference analysis for bivariate meta-analysis of diagnostic test studies using integrated nested Laplace approximation with INLA. A purpose built graphic user interface is available. The installation of R package INLA is compulsory for successful usage. The INLA package can be obtained from <http://www.r-inla.org>. We recommend the testing version, which can be downloaded by running: install.packages("INLA", repos=c(getOption("repos"), INLA="https://inla.r-inla-download.org/R/testing"), dep=TRUE).

Jingyi Guo <jingyi.guo@ntnu.no> and Andrea Riebler <andrea.riebler@ntnu.no>
Bayesian inference analysis for bivariate meta-analysis of diagnostic test studies using integrated nested Laplace approximation with INLA. A purpose built graphic user interface is available. The installation of R package INLA is compulsory for successful usage. The INLA package can be obtained from <https://www.r-inla.org>. We recommend the testing version, which can be downloaded by running: install.packages("INLA", repos=c(getOption("repos"), INLA="https://inla.r-inla-download.org/R/testing"), dep=TRUE).

BLUE for Combining Location and Scale Information in a
Meta-Analysis
c(
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"))
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.
Xin Yang [cre, aut],
Alan Hutson [aut],
Dongliang Wang [aut]