v1.0.0

First version of RAMEN. The following functions are implemented to conduct a genome-exposome contribution analysis to DNA methylome variability:

• findVMRs() identifies Variable Methylated Regions (VMRs) in microarrays
• summarizeVMRs()summarizes the regional methylation state of each VMR
• findCisSNPs() identifies the SNPs in cis of each VMR
• selectVariables() conducts a LASSO-based variable selection strategy to identify potentially relevant cis SNPs and environmental variables
• lmGE() fits linear single-variable genetic (G) and environmental (E), and pairwise additive (G+E) and interaction (GxE) linear models and select the best explanatory model per VMR.
• nullDistGE() simulates a delta R squared null distribution of G and E effects on DNAme variability. Useful for filtering out poor-performing best explanatory models selected by lmGE().