Package: NormPsy 1.0.8

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.

Authors:Cecile Proust-Lima, Viviane Philipps

NormPsy_1.0.8.tar.gz
NormPsy_1.0.8.zip(r-4.7-x86_64)NormPsy_1.0.8.zip(r-4.6-x86_64)NormPsy_1.0.8.zip(r-4.5-x86_64)
NormPsy_1.0.8.tgz(r-4.6-x86_64)NormPsy_1.0.8.tgz(r-4.6-arm64)NormPsy_1.0.8.tgz(r-4.5-x86_64)NormPsy_1.0.8.tgz(r-4.5-arm64)
NormPsy_1.0.8.tar.gz(r-4.7-arm64)NormPsy_1.0.8.tar.gz(r-4.7-x86_64)NormPsy_1.0.8.tar.gz(r-4.6-arm64)NormPsy_1.0.8.tar.gz(r-4.6-x86_64)
NormPsy_1.0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
NormPsy/json (API)

# Install 'NormPsy' in R:
install.packages('NormPsy', repos = c('https://cecileproust-lima.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cecileproust-lima/normpsy/issues

Uses libs:
  • fortran– Runtime library for GNU Fortran applications

On CRAN:

Conda:

fortran

2.72 score 32 scripts 1.6k downloads 4 exports 14 dependencies

Last updated from:e4ada2acf1. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK111
linux-devel-x86_64OK121
source / vignettesOK169
linux-release-arm64OK104
linux-release-x86_64OK114
macos-release-arm64OK164
macos-release-x86_64OK281
macos-oldrel-arm64OK154
macos-oldrel-x86_64OK350
windows-devel-x86_64OK112
windows-release-x86_64OK92
windows-oldrel-x86_64OK135
wasm-releaseOK104

Exports:C_backtransformationnormMMSEplot.predMMSEpredictMMSE

Dependencies:codetoolsdoParallelforeachiteratorslatticelcmmmarqLevAlgMatrixmvtnormnlmenumDerivRcppspacefillrsurvival