R: GEM: fast association study for the interplay of Gene, Environment and Methylation

# GEM: fast association study for the interplay of Gene, Environment and Methylation

## Documentation for package ‘GEM’ version 1.39.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

GEM-package | GEM: Fast association study for the interplay of Gene, Environment and Methylation
as.matrix-method | Class 'SlicedData' for storing large matrices
colMeans-method | Class 'SlicedData' for storing large matrices
colnames-method | Class 'SlicedData' for storing large matrices
colnames<--method | Class 'SlicedData' for storing large matrices
colSums-method | Class 'SlicedData' for storing large matrices
dim-method | Class 'SlicedData' for storing large matrices
GEM_Emodel | GEM_Emodel Analysis
GEM_Gmodel | GEM_Gmodel Analysis
GEM_GUI | Graphical User Interface (GUI) for GEM
GEM_GWASmodel | GEM_GWASmodel
GEM_GxEmodel | GEM_GxEmodel
length-method | Class 'SlicedData' for storing large matrices
NCOL-method | Class 'SlicedData' for storing large matrices
ncol-method | Class 'SlicedData' for storing large matrices
NROW-method | Class 'SlicedData' for storing large matrices
nrow-method | Class 'SlicedData' for storing large matrices
rowMeans-method | Class 'SlicedData' for storing large matrices
rownames-method | Class 'SlicedData' for storing large matrices
rownames<--method | Class 'SlicedData' for storing large matrices
rowSums-method | Class 'SlicedData' for storing large matrices
show-method | Class 'SlicedData' for storing large matrices
SlicedData | Class 'SlicedData' for storing large matrices
SlicedData-class | Class 'SlicedData' for storing large matrices
summary.SlicedData | Class 'SlicedData' for storing large matrices
[[-method | Class 'SlicedData' for storing large matrices
[[<--method | Class 'SlicedData' for storing large matrices