Package: CpGassoc
Type: Package
Title: Association between Methylation and a phenotype of interest
Version: 1.3
Date: 2012-07-17
Author: Barfield, R., Conneely, K., Kilaru,V
Maintainer: R Barfield <rbarfield01@fas.harvard.edu>
Description: CpGassoc is designed to test for association between
methylation at CpG sites across the genome and a phenotype of
interest, adjusting for any relevant covariates. The package
can perform standard analyses of large datasets very quickly
with no need to impute the data. It can also handle mixed
effects models with chip or batch entering the model as a
random intercept.  CpGassoc also includes tools to apply
quality control filters, perform permutation tests, and create
QQ plots, manhattan plots, and scatterplots for individual CpG
sites.
Depends: R (>= 2.10), nlme
Suggests: qvalue
License: GPL (>= 2)
Packaged: 2012-07-17 15:17:07 UTC; rbarfield
Repository: CRAN
Date/Publication: 2012-07-18 05:31:49

Description: CpGassoc is designed to test for association between methylation at CpG sites across the genome and a phenotype of interest,
adjusting for any relevant covariates. The package can perform standard analyses of large datasets very quickly with no
need to impute the data. It can also handle mixed effects models with chip or batch entering the model as a random intercept.
CpGassoc also includes tools to apply quality control filters, perform permutation tests, and create QQ plots, manhattan plots,
and scatterplots for individual CpG sites.

Title: Association Between Methylation and a Phenotype of Interest
Description: Is designed to test for association between methylation at CpG sites across the genome and a phenotype of interest,
Also includes tools to apply quality control filters, perform permutation tests, and create QQ plots, manhattan plots,

Description: Is designed to test for association between methylation at CpG sites across the genome and a phenotype of interest, adjusting for any relevant covariates. The package can perform standard analyses of large datasets very quickly with no need to impute the data. It can also handle mixed effects models with chip or batch entering the model as a random intercept. Also includes tools to apply quality control filters, perform permutation tests, and create QQ plots, manhattan plots, and scatterplots for individual CpG sites.
Packaged: 2016-01-29 15:54:21 UTC; richardbarfield