SNPknock: Knockoffs for Hidden Markov Models and Genetic Data

Generate knockoffs for genetic data and hidden Markov models. For more information, see the website below and the accompanying papers: "Gene hunting with hidden Markov model knockoffs", Sesia et al., Biometrika, 2019, (<doi:10.1093/biomet/asy033>). "Multi-resolution localization of causal variants across the genome", Sesia et al., bioRxiv, 2019, (<doi:10.1101/631390>).

Version: 0.8.2
Depends: R (≥ 3.3.0)
Imports: Rcpp (≥ 0.12.13), Rdpack
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: knitr, testthat, parallel, doParallel
Published: 2019-05-17
Author: Matteo Sesia [aut, cre]
Maintainer: Matteo Sesia <msesia at stanford.edu>
BugReports: https://github.com/msesia/snpknock/issues
License: GPL-3
URL: https://msesia.github.io/snpknock
NeedsCompilation: yes
Language: en-US
Citation: SNPknock citation info
Materials: README NEWS
CRAN checks: SNPknock results

Downloads:

Reference manual: SNPknock.pdf
Vignettes: Using SNPknock in R
Using SNPknock with Genetic Data
Package source: SNPknock_0.8.2.tar.gz
Windows binaries: r-devel: SNPknock_0.8.2.zip, r-devel-gcc8: SNPknock_0.8.2.zip, r-release: SNPknock_0.8.2.zip, r-oldrel: SNPknock_0.8.2.zip
OS X binaries: r-release: SNPknock_0.8.2.tgz, r-oldrel: SNPknock_0.8.2.tgz
Old sources: SNPknock archive

Reverse dependencies:

Reverse imports: epiGWAS

Linking:

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