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autoRasch

R package for semi-automated Rasch analysis

Installation

# install.packages("remotes")
remotes::install_github("fwijayanto/autoRasch", build_manual = TRUE, build_vignettes = TRUE)

Usage

Please refers to the vignettes and function manual documentations which have been provided along within the package.

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Version

Install

install.packages('autoRasch')

Monthly Downloads

282

Version

0.2.2

License

GPL-2

Maintainer

Feri Wijayanto

Last Published

October 19th, 2022

Functions in autoRasch (0.2.2)

pcm

Estimation of The Partial Credit Model (PCM)
pcm_dif

Estimation of The Partial Credit Model with DIF
dicho_md_dset

Uncorrelated Multidimensional Dichotomous Data Set
fitStats

Fit statistics
generate_data

Generate the artificial dataset
gpcm_dif

Estimation of The Generalized Partial Credit Model with DIF
dicho_inh_dset

Inhomogenous Dichotomous Data Set
residCor

Residual Correlation
generic_model

Estimation of the generic form of the models
gpcm

Estimation of The Generalized Partial Credit Model
stepwise_search

Stepwise Selection Search
polydif_inh_dset

The Inhomogenous Polytomous Dataset containing DIF items
plot_EVC

Plot The Expected Value Curves
plot_PImap

Plot The Person-Item Map
plot_ICC

Plot The Item Characteristic Curves
checkRel

Compute Reliability and Standard Error
poly_inh_dset

The Inhomogenous Polytomous Dataset
short_poly_data

A Shorter Inhomogenous Polytomous Dataset
shortDIF

A Shorter Polytomous Dataset with DIF
poly_md_dset

Uncorrelated Multidimensional Polytomous Data Set
withinItem_multidim

Within-item Multidimensional Polytomous Data Set
check.unidim

Unidimensionality Check
testlets_dataset

Multi-testlets Polytomous Data Set
compute_score

Compute the In-plus-out-of-questionnaire log likelihood (with DIF) (IPOQ-LL(-DIF))
autoRasch

autoRasch: A package for semi-automatic Rasch analysis
correl02_multidim

Multidimensional polytomous data set with 0.2 correlation
dataset

The Simulated Dataset
createGroup

Create Mapping Matrix of DIF Groups
correl04_multidim

Multidimensional polytomous data set with 0.4 Correlation
correl03_multidim

Multidimensional polytomous data set with 0.3 correlation
correl05_multidim

Multidimensional polytomous data set with 0.5 Correlation
correl06_multidim

Multidimensional polytomous data set with 0.6 Correlation
autoRaschOptions

autoRasch Optimization Parameters Setting