Package: leapp
Version: 1.3
Date: 2022-06-19
Title: Latent Effect Adjustment After Primary Projection
Author: Yunting Sun <yunting.sun@gmail.com> , Nancy R.Zhang
        <nzhang@stanford.edu>, Art B.Owen <owen@stanford.edu>
Maintainer: Yunting Sun <yunting.sun@gmail.com>
Description: These functions take a gene expression value matrix, a
        primary covariate vector, an additional known covariates
        matrix.  A two stage analysis is applied to counter the effects
        of latent variables on the rankings of hypotheses.  The
        estimation and adjustment of latent effects are proposed by
        Sun, Zhang and Owen (2011).  "leapp" is developed in the
        context of microarray experiments, but may be used as a general
        tool for high throughput data sets where dependence may be
        involved.
Depends: R (>= 3.1.1), sva, MASS, corpcor
License: GPL (>= 2)
Packaged: 2022-06-19 20:46:12 UTC; ytsun
Repository: CRAN
Date/Publication: 2022-06-19 21:10:02 UTC
NeedsCompilation: no
Built: R 4.6.0; ; 2026-04-26 21:07:10 UTC; unix
