Using a computationally efficient method, the package can be used to find the corrected coverage estimate of a credible set of putative causal variants from Bayesian genetic fine-mapping. The package can also be used to obtain a corrected credible set if required; that is, the smallest set of variants required such that the corrected coverage estimate of the resultant credible set is within some user defined accuracy of the desired coverage. Maller et al. (2012) <doi:10.1038/ng.2435>, Wakefield (2009) <doi:10.1002/gepi.20359>, Fortune and Wallace (2018) <doi:10.1093/bioinformatics/bty898>.
Version: 1.2.1 Depends: R (≥ 3.5.0) Imports: data.table, magrittr, stats, matrixStats, Rcpp LinkingTo: Rcpp, RcppArmadillo Suggests: covr, dplyr, knitr, mvtnorm, rmarkdown, testthat, pkgdown OS_type: unix Published: 2019-12-06 DOI: 10.32614/CRAN.package.corrcoverage Author: Anna Hutchinson [aut, cre], Chris Wallace [aut], Kevin Kunzmann [ctb] Maintainer: Anna Hutchinson <anna.hutchinson at mrc-bsu.cam.ac.uk> BugReports: https://github.com/annahutch/corrcoverage/issues License: MIT + file LICENSE URL: https://annahutch.github.io/corrcoverage NeedsCompilation: yes SystemRequirements: C++11 Materials: README NEWS CRAN checks: corrcoverage results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=corrcoverage to link to this page.
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