Package: remaCor 0.0.19

Gabriel Hoffman

remaCor: Random Effects Meta-Analysis for Correlated Test Statistics

Meta-analysis is widely used to summarize estimated effects sizes across multiple statistical tests. Standard fixed and random effect meta-analysis methods assume that the estimated of the effect sizes are statistically independent. Here we relax this assumption and enable meta-analysis when the correlation matrix between effect size estimates is known. Fixed effect meta-analysis uses the method of Lin and Sullivan (2009) <doi:10.1016/j.ajhg.2009.11.001>, and random effects meta-analysis uses the method of Han, et al. <doi:10.1093/hmg/ddw049>.

Authors:Gabriel Hoffman [aut, cre]

remaCor_0.0.19.tar.gz
remaCor_0.0.19.zip(r-4.5)remaCor_0.0.19.zip(r-4.4)remaCor_0.0.19.zip(r-4.3)
remaCor_0.0.19.tgz(r-4.4-x86_64)remaCor_0.0.19.tgz(r-4.4-arm64)remaCor_0.0.19.tgz(r-4.3-x86_64)remaCor_0.0.19.tgz(r-4.3-arm64)
remaCor_0.0.19.tar.gz(r-4.5-noble)remaCor_0.0.19.tar.gz(r-4.4-noble)
remaCor_0.0.19.tgz(r-4.4-emscripten)remaCor_0.0.19.tgz(r-4.3-emscripten)
remaCor.pdf |remaCor.html✨
remaCor/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/diseaseneurogenomics/remacor/issues

On CRAN:

6 exports 1 stars 1.96 score 39 dependencies 4 dependents 6 scripts 1.1k downloads

Last updated 7 months agofrom:63821de189. Checks:OK: 9. Indexed: yes.

Exports:hotellingLSLS.empiricalplotCorplotForestRE2C

Dependencies:clicolorspaceEnvStatsfansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmenortestpillarpkgconfigplyrR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr