R/data.R

In DisaggregateTS: High-Dimensional Temporal Disaggregation

#' GHG Emissions and Financial Data for IBM
#'
#' This dataset contains time series data on greenhouse gas (GHG) emissions
#' and financial variables for IBM covering the period from Q3 2005 to Q3 2021.
#' It is designed for use in demonstrating temporal disaggregation and adaptive LASSO methods
#' for estimating high-frequency GHG emissions from low-frequency data.
#'
#' @format A data frame with 68 rows (representing quarters) and 113 variables:
#' \describe{
#'   \item{time}{Numeric vector representing the time index, spanning from Q3 2005 to Q3 2021}
#'   \item{GHG}{Numeric vector of annual greenhouse gas emissions for IBM, recorded annually and repeated quarterly}
#'   \item{financial_variables}{A matrix or data frame of 112 financial variables, extracted from quarterly balance sheets, income statements, and cash flow statements for each company}
#' }
#' @source Original data collected from financial statements and GHG reports of IBM.
"Data"