NormPsy: Normalisation of Psychometric Tests

Functions for normalizing psychometric test scores. The normalization aims at correcting the metrological properties of the psychometric tests such as the ceiling and floor effects and the curvilinearity (unequal interval scaling). Functions to compute and plot predictions in the natural scale of the psychometric test from the estimates of a linear mixed model estimated on the normalized scores are also provided. See Philipps et al (2014) <doi:10.1159/000365637> for details.

Version: 1.0.7
Depends: R (≥ 2.14.0)
Imports: lcmm (≥ 1.7.1)
Published: 2018-03-16
Author: Cecile Proust-Lima, Viviane Philipps
Maintainer: Cecile Proust-Lima <cecile.proust-lima at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
CRAN checks: NormPsy results


Reference manual: NormPsy.pdf
Package source: NormPsy_1.0.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: NormPsy_1.0.7.tgz
OS X Mavericks binaries: r-oldrel: not available
Old sources: NormPsy archive


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