doi:10.1038/ng.2435>, Wakefield (2009) <doi:10.1002/gepi.20359>, Fortune and Wallace (2018) <doi:10.1093/bioinformatics/bty898>.">

corrcoverage: Correcting the Coverage of Credible Sets from Bayesian Genetic Fine Mapping (original) (raw)

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
URL: https://annahutch.github.io/corrcoverage
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: corrcoverage results

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