R/biomarker.R

In SCOR: Spherically Constrained Optimization Routine

#' Alzheimer's disease neuropsychometric marker dataset
#'
#' The dataset is a subset of the longitudinal cohort of Washington University (WU)
#' Alzheimer's Disease Research Center (ADRC). In the AL dataset, measurements of 12 neuropsychological markers
#' were collected on 108 independent individuals of age 75. The individuals were classified into 3 groups based on
#' published clinical demential rating (CDR).
#'
#'
#'
#'
#' \itemize{
#'   \item ktemp. a numeric vector, measurements on the neuropsychometric test for \dQuote{temporal factor}.
#'   \item kpar. a numeric vector, measurements on the neuropsychometric test for \dQuote{parietal factor}.
#'   \item kfront. a numeric vector, measurements on the neuropsychometric test for \dQuote{frontal factor}.
#'   \item zpsy005. a numeric vector, measurements on the neuropsychometric test for \dQuote{digital span forward}.
#'   \item zpsy006. a numeric vector, measurements on the neuropsychometric test for \dQuote{digital span backward}.
#'   \item zinfo. a numeric vector, measurements on the neuropsychometric test for \dQuote{information}.
#'   \item zbentc. a numeric vector, measurements on the neuropsychometric test for \dQuote{visual retention (10s)}.
#'   \item zbentd. a numeric vector, measurements on the neuropsychometric test for \dQuote{visual retention (copy)}.
#'   \item zboston. a numeric vector,a numeric vector, measurements on the neuropsychometric test for \dQuote{boston naming}.
#'   \item zmentcon. a numeric vector,measurements on the neuropsychometric test for \dQuote{mental control}.
#'   \item zworflu. a numeric vector,measurements on the neuropsychometric test for \dQuote{word fluency}.
#'   \item zassc. a numeric vector,measurements on the neuropsychometric test for \dQuote{associate learning}.
#' }
#'
#'
#' @name AL
#' @docType data
#' @keywords datasets
#'
#' @usage data(AL)
#'
#' @format A data frame with 108 observations on the following 12 variables.
#'
#'
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