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

Documentation:

Reference manual:	SNPknock.pdf
Vignettes:	Using SNPknock in R Using SNPknock with Genetic Data

Downloads:

Package source:	SNPknock_0.8.2.tar.gz
Windows binaries:	r-devel: SNPknock_0.8.2.zip, r-release: SNPknock_0.8.2.zip, r-oldrel: SNPknock_0.8.2.zip
macOS binaries:	r-release (arm64): SNPknock_0.8.2.tgz, r-oldrel (arm64): SNPknock_0.8.2.tgz, r-release (x86_64): SNPknock_0.8.2.tgz, r-oldrel (x86_64): SNPknock_0.8.2.tgz
Old sources:	SNPknock archive

Linking:

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