DESCRIPTION

Package: PQLseq
Type: Package
Title: Efficient Mixed Model Analysis of Count Data in Large-Scale
        Genomic Sequencing Studies
Version: 1.2.1
Date: 2021-06-06
Author: Shiquan Sun, Jiaqiang Zhu, Xiang Zhou
Maintainer: Jiaqiang Zhu <jiaqiang@umich.edu>
Description: An efficient tool designed for differential analysis of large-scale RNA sequencing (RNAseq) data and Bisulfite sequencing (BSseq) data in the presence of individual relatedness and population structure. 'PQLseq' first fits a Generalized Linear Mixed Model (GLMM) with adjusted covariates, predictor of interest and random effects to account for population structure and individual relatedness, and then performs Wald tests for each gene in RNAseq or site in BSseq. 
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.14),foreach,doParallel,parallel,Matrix,methods
LinkingTo: Rcpp,RcppArmadillo
NeedsCompilation: yes
Packaged: 2021-06-06 13:10:04 UTC; jiaqiang
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2021-06-06 13:30:02 UTC