Package: colocboost
Type: Package
Date: 2026-06-07
Title: Multi-Context Colocalization Analysis for QTL and GWAS Studies
Version: 1.0.9
Authors@R: c(
  person(given = "Xuewei", family = "Cao", email = "xc2270@cumc.columbia.edu", role = c("cre", "aut", "cph")),
  person(given = "Haochen", family = "Sun", email = "hs3393@cumc.columbia.edu", role = c("aut", "cph")),
  person(given = "Ru", family = "Feng", email = "rf2872@cumc.columbia.edu", role = c("aut", "cph")),
  person(given = "Daniel", family = "Nachun", role = c("aut", "cph")),
  person(given = "Kushal", family = "Dey", email = "deyk@mskcc.org", role = c("aut", "cph")),
  person(given = "Gao", family = "Wang", email = "wang.gao@columbia.edu", role = c("aut", "cph"))
  )
Maintainer: Xuewei Cao <xc2270@cumc.columbia.edu>
Description: A multi-task learning approach to variable selection
        regression with highly correlated predictors and sparse
        effects, based on frequentist statistical inference. It
        provides statistical evidence to identify which subsets of
        predictors have non-zero effects on which subsets of response
        variables, motivated and designed for colocalization analysis
        across genome-wide association studies (GWAS) and quantitative
        trait loci (QTL) studies. The ColocBoost model is described in
        Cao et. al. (2025) <doi:10.1101/2025.04.17.25326042>.
Encoding: UTF-8
LazyDataCompression: xz
LazyData: true
RoxygenNote: 7.3.3
URL: https://github.com/StatFunGen/colocboost
BugReports: https://github.com/StatFunGen/colocboost/issues
Depends: R (>= 4.0.0)
Imports: Rfast, matrixStats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ashr, MASS, susieR
VignetteBuilder: knitr
Roxygen: list(markdown = TRUE)
Config/testthat/edition: 3
License: MIT + file LICENSE
Config/pak/sysreqs: make
Repository: https://statfungen.r-universe.dev
Date/Publication: 2026-06-22 07:53:32 UTC
RemoteUrl: https://github.com/statfungen/colocboost
RemoteRef: HEAD
RemoteSha: 2f4e3067f3aacedfc1fe378748d07dec644d90e1
NeedsCompilation: no
Packaged: 2026-06-22 09:44:07 UTC; root
Author: Xuewei Cao [cre, aut, cph],
  Haochen Sun [aut, cph],
  Ru Feng [aut, cph],
  Daniel Nachun [aut, cph],
  Kushal Dey [aut, cph],
  Gao Wang [aut, cph]