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NormData  

Derivation of Regression-Based Normative Data
View on CRAN: Click here


Download and install NormData package within the R console
Install from CRAN:
install.packages("NormData")

Install from Github:
library("remotes")
install_github("cran/NormData")

Install by package version:
library("remotes")
install_version("NormData", "1.1")



Attach the package and use:
library("NormData")
Maintained by
Wim Van der Elst
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-09-08
Latest Update: 2024-04-12
Description:
Normative data are often used to estimate the relative position of a raw test score in the population. This package allows for deriving regression-based normative data. It includes functions that enable the fitting of regression models for the mean and residual (or variance) structures, test the model assumptions, derive the normative data in the form of normative tables or automatic scoring sheets, and estimate confidence intervals for the norms. This package accompanies the book Van der Elst, W. (2024). Regression-based normative data for psychological assessment. A hands-on approach using R. Springer Nature.
How to cite:
Wim Van der Elst (2023). NormData: Derivation of Regression-Based Normative Data. R package version 1.1, https://cran.r-project.org/web/packages/NormData. Accessed 26 Jun. 2026.
Previous versions and publish date:
0.1 (2023-09-08 17:50), 1.0 (2024-02-06 18:50)
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Complete documentation for NormData
Functions, R codes and Examples using the NormData R package
Full NormData package functions and examples
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