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NpsychBatteryNorms lets you easily calculate normative scores for a wide variety of neuropsychological tests using various methods.

Installation

# Install remotes if not already installed
install.packages("remotes")
remotes::install_github("rmtrane/NpsychBatteryNorms")

Disclaimer

This R package started as the backbone of the visualization tool included in the R package NpsychAssessmentTool, but we quickly realized it might be of use as a standalone tool for other researchers. It was therefore decided to package the most important tools and methods separately, which resulted in this package. None of the implementations here should be used in commercial products nor as standalone medical advice. Also note this package is distributed under the MIT Licence, meaning the software is provided “asis” and the authors are not liable for any claim, damages or other liabaility arising from this software. Also, note that the authors behind the T-scores implemented for some test scores request that the scores are not edited, modified, translated or otherwise part of derivative work without the prior written permission of Mayo Clinic. For more on the use of the T-scores, contact Nikki Stricker and/or see the Mayo Clinic Study of Aging website for more on data sharing.

Simple Usage

The main function in this package is std_scores which lets us standardize raw scores. As an example, we can standardize a raw score for the MoCA of 21 for a 57 year old male patient with 15 years of education using normative data published by NACC:

library(NpsychBatteryNorms)

std_scores(
  raw_scores = 21,
  var_name = "MOCATOTS",
  sex = "m",
  age = 57,
  education = 15,
  method = "norms",
  version = "nacc"
)
[1] -2.192308

For more details, see the Get started page