NormData: Derivation of Regression-Based Normative Data
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.
| Version: | 0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | car, doBy, MASS, lmtest, dplyr, sandwich, openxlsx, methods |
| Published: | 2023-09-08 |
| Author: | Wim Van der Elst 
[aut, cre] |
| Maintainer: | Wim Van der Elst <Wim.vanderelst at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | NormData results |
Documentation:
| Reference manual: | NormData.pdf |
Downloads:
| Package source: | NormData_0.1.tar.gz |
| Windows binaries: | r-devel: NormData_0.1.zip, r-release: NormData_0.1.zip, r-oldrel: NormData_0.1.zip |
| macOS binaries: | r-release (arm64): NormData_0.1.tgz, r-oldrel (arm64): NormData_0.1.tgz, r-release (x86_64): NormData_0.1.tgz, r-oldrel (x86_64): NormData_0.1.tgz |
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