STARSEQ: Secondary Trait Association analysis for Rare variants via SEQuence data

STARSEQ is an R-package for detecting associations with rare variants using selected samples in sequence-based association studies. It corrects for the bias in the secondary trait distribution induced by selective sampling on the primary trait. The corrected secondary trait can be analyzed by standard rare variant tests. In the STARSEQ package, several popular rare variant tests were implemented, which include 1.) combined multivariate and collapsing 2.) weighted sum statistics, 3.) kernel based adaptive cluster, 4.) variable threshold test 5.) sequence kernel association test.

Version: 1.02
Depends: CompQuadForm, numDeriv, vcf2geno
Published: 2012-08-24
Author: Dajiang Liu
Maintainer: Dajiang Liu <dajiang.liu at gmail.com>
License: GPL-3
NeedsCompilation: yes
CRAN checks: STARSEQ results

Downloads:

Reference manual: STARSEQ.pdf
Package source: STARSEQ_1.02.tar.gz
Windows binaries: r-devel: STARSEQ_1.02.zip, r-release: STARSEQ_1.02.zip, r-oldrel: STARSEQ_1.02.zip
OS X Snow Leopard binaries: r-release: STARSEQ_1.02.tgz, r-oldrel: STARSEQ_1.02.tgz
OS X Mavericks binaries: r-release: STARSEQ_1.02.tgz

Reverse dependencies:

Reverse suggests: seqminer