Package: KnockoffHybrid 1.0.1

Yi Yang

KnockoffHybrid: Hybrid Analysis of Population and Trio Data with Knockoff Statistics for FDR Control

Identification of putative causal variants in genome-wide association studies using hybrid analysis of both the trio and population designs. The package implements the method in the paper: Yang, Y., Wang, Q., Wang, C., Buxbaum, J., & Ionita-Laza, I. (2024). KnockoffHybrid: A knockoff framework for hybrid analysis of trio and population designs in genome-wide association studies. The American Journal of Human Genetics, in press.

Authors:Yi Yang [aut, cre]

KnockoffHybrid_1.0.1.tar.gz
KnockoffHybrid_1.0.1.tar.gz(r-4.7-any)KnockoffHybrid_1.0.1.tar.gz(r-4.6-any)
KnockoffHybrid_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
KnockoffHybrid/json (API)

# Install 'KnockoffHybrid' in R:
install.packages('KnockoffHybrid', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 573 downloads 4 exports 11 dependencies

Last updated from:e0ea5ff885. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK120
source / vignettesOK167
linux-release-x86_64OK128
wasm-releaseOK133

Exports:calculate_weightcausal_locicreate_knockoffKnockoffHybrid

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapeSPAtestsurvival