#' Exploring a quality minus junk approach to evaluating stocks
#'
#' The \strong{qmj} package calculates quality scores for the companies
#' in the Russell 3000 Index based on the paper
#' \emph{Quality Minus Junk} by Clifford Asness, Andrea Frazzini,
#' and Lasse Pedersen.
#'
#' Quality is a scaled measure of a company's profitability, growth,
#' safety, and payouts. By using publicly available data for
#' company balance sheets, income statements, and cash flows, \strong{qmj}
#' calculates relative quality z-scores for companies.
#'
#' All functions and datasets are documented, and are freely
#' available for use.
#' Index of datasets:
#' \itemize{
#' \item companies - A data frame of publicly traded companies in the Russell
#' 3000 Index.
#' \item financials - Financial statements for companies in the
#' companies dataset.
#' \item prices - Daily prices and price returns for the past two years for
#' each company.
#' \item quality - Most recently measured quality z-scores and component scores.
#' }
#'
#' @references
#' Asness, Clifford S., Andrea Frazzini, and Lasse H. Pedersen. 'Quality Minus Junk.' AQR (2013)
#'
#' @docType package
#' @name qmj
NULL
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