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.

Install the latest version of this package by entering the following in R:
install.packages("NormPsy")
AuthorCecile Proust-Lima, Viviane Philipps
Date of publication2017-03-23 20:57:51 UTC
MaintainerCecile Proust-Lima <cecile.proust-lima@inserm.fr>
LicenseGPL
Version1.0.5

View on CRAN

Files

src
src/Makevars.in
src/normpsy.h
src/backtransformation.f90
src/Makevars.win
src/init.c
NAMESPACE
R
R/predictMMSE.R R/plot.predMMSE.R R/normMMSE.R
MD5
DESCRIPTION
man
man/ForInternalUse.Rd man/plot.predMMSE.Rd man/predictMMSE.Rd man/NormPsy-package.Rd man/normMMSE.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.