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RSP (version 0.5)

'shiny' Applications for Statistical and Psychometric Analysis

Description

Toolbox with 'shiny' applications for widely used psychometric methods. Those methods include following analysis: Item analysis, item response theory calibration, principal component analysis, confirmatory factor analysis - structural equation modeling, generating simulated data. References: Chalmers (2012, ); Revelle (2022, ); Rosseel (2012, ); Magis & Raiche (2012, ); Magis & Barrada (2017, ).

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Version

Install

install.packages('RSP')

Monthly Downloads

3,390

Version

0.5

License

GPL-3

Maintainer

Eren Can Aybek

Last Published

January 21st, 2026

Functions in RSP (0.5)

ITEMAN

Item and test statistics based on classical test theory,
SIMDATA

Generate simulated data according to IRT for dichotomous and polytomous data Generate multidimensional data for factor analysis # param options(java.parameters = "-Xmx8000m")
INTERNAL

Run exploratory factor analysis for dichotomous and polytomous data
CFA

Testing measurement & structural models for dichotomous and polytomous data
PCA

Run principal component analysis for dichotomous and polytomous data
IRT

Item calibration according to item response theory models
FA

Run exploratory factor analysis for dichotomous and polytomous data