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:
NormPsy_1.0.8.tar.gz
NormPsy_1.0.8.zip(r-4.5)NormPsy_1.0.8.zip(r-4.4)NormPsy_1.0.8.zip(r-4.3)
NormPsy_1.0.8.tgz(r-4.4-x86_64)NormPsy_1.0.8.tgz(r-4.4-arm64)NormPsy_1.0.8.tgz(r-4.3-x86_64)NormPsy_1.0.8.tgz(r-4.3-arm64)
NormPsy_1.0.8.tar.gz(r-4.5-noble)NormPsy_1.0.8.tar.gz(r-4.4-noble)
NormPsy_1.0.8.tgz(r-4.4-emscripten)NormPsy_1.0.8.tgz(r-4.3-emscripten)
NormPsy.pdf |NormPsy.html✨
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
Last updated 6 years agofrom:e4ada2acf1. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win-x86_64 | OK | Nov 04 2024 |
R-4.5-linux-x86_64 | OK | Nov 04 2024 |
R-4.4-win-x86_64 | OK | Nov 04 2024 |
R-4.4-mac-x86_64 | OK | Nov 04 2024 |
R-4.4-mac-aarch64 | OK | Nov 04 2024 |
R-4.3-win-x86_64 | OK | Nov 04 2024 |
R-4.3-mac-x86_64 | OK | Nov 04 2024 |
R-4.3-mac-aarch64 | OK | Nov 04 2024 |
Exports:C_backtransformationnormMMSEplot.predMMSEpredictMMSE
Dependencies:codetoolsdoParallelforeachiteratorslatticelcmmmarqLevAlgMatrixmvtnormnlmenumDerivrandtoolboxrngWELLsurvival
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Normalisation of Psychometric Tests | NormPsy-package NormPsy |
For internal use only ... | C_backtransformation |
Normalized scores for the Mini Mental State Examination (MMSE) | normMMSE |
Plot of predicted scores in the natural scale of the psychometric test | plot.predMMSE |
Prediction of MMSE scores in their natural scale. | predictMMSE |