#' RNA-Seq from the paper referenced below.
#'
#'
#' @docType data
#' @keywords datasets
#' @name mdd.RNAseq.small
#' @usage data(mdd.RNAseq.small)
#' @format
#' Data frame with 157 mdd and hc subjects with
#' 500 randomly selected genes from the original 5912 genes.
"mdd.RNAseq.small"
#' case-control interaction effect data
#'
#' @docType data
#' @keywords datasets
#' @name case.control.3sets
#' @usage data(case.control.3sets)
#' @format
#' Data frame with 300 samples (100 samples in train/holdout/test) and
#' 100 features with moderate (interaction) effect size.
"case.control.3sets"
#' quantitative trait main effect data
#'
#' @docType data
#' @keywords datasets
#' @name qtrait.3sets
#' @usage data(qtrait.3sets)
#' @format
#' Data frame with 300 samples (100 samples in train/holdout/test) and
#' 100 features with moderate (main) effect size.
"qtrait.3sets"
#' case-control interaction effect data, features only
#'
#' @docType data
#' @keywords datasets
#' @name predictors.mat
#' @usage data(predictors.mat)
#' @format
#' Data frame with 100 samples (100 samples in train/holdout/test) and
#' 100 features/predictors with moderate (main) effect size.
#' No "class" column.
"predictors.mat"
#' Test data from Rinbix
#'
#' @docType data
#' @keywords datasets
#' @name testdata10
#' @usage data(testdata10)
"testdata10"
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