Package: autoRasch 0.2.2

Feri Wijayanto

autoRasch: Semi-Automated Rasch Analysis

Performs Rasch analysis (semi-)automatically, which has been shown to be comparable with the standard Rasch analysis (Feri Wijayanto et al. (2021) <doi:10.1111/bmsp.12218>, Feri Wijayanto et al. (2022) <doi:10.3758/s13428-022-01947-9>, Feri Wijayanto et al. (2022) <doi:10.1177/01466216221125178>).

Authors:Feri Wijayanto [aut, cre], Ioan Gabriel Bucur [aut], Perry Groot [aut], Tom Heskes [aut], Karlien Mul [ctb], Baziel G.M. van Engelen [ctb]

autoRasch_0.2.2.tar.gz
autoRasch_0.2.2.tar.gz(r-4.5-noble)autoRasch_0.2.2.tar.gz(r-4.4-noble)
autoRasch_0.2.2.tgz(r-4.4-emscripten)autoRasch_0.2.2.tgz(r-4.3-emscripten)
autoRasch.pdf |autoRasch.html✨
autoRasch/json (API)

# Install 'autoRasch' in R:

install.packages('autoRasch', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

correl02_multidim - Multidimensional polytomous data set with 0.2 correlation
correl03_multidim - Multidimensional polytomous data set with 0.3 correlation
correl04_multidim - Multidimensional polytomous data set with 0.4 Correlation
correl05_multidim - Multidimensional polytomous data set with 0.5 Correlation
correl06_multidim - Multidimensional polytomous data set with 0.6 Correlation
dicho_inh_dset - Inhomogenous Dichotomous Data Set
dicho_md_dset - Uncorrelated Multidimensional Dichotomous Data Set
poly_inh_dset - The Inhomogenous Polytomous Dataset
poly_md_dset - Uncorrelated Multidimensional Polytomous Data Set
polydif_inh_dset - The Inhomogenous Polytomous Dataset containing DIF items
shortDIF - A Shorter Polytomous Dataset with DIF
short_poly_data - A Shorter Inhomogenous Polytomous Dataset
testlets_dataset - Multi-testlets Polytomous Data Set
withinItem_multidim - Within-item Multidimensional Polytomous Data Set

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.00 score 7 scripts 245 downloads 24 exports 12 dependencies

Last updated 2 years agofrom:b1f02bacef. Checks:OK: 1 NOTE: 1. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 02 2024
R-4.5-linux-x86_64	NOTE	Nov 02 2024

Exports:autoRaschOptions backward_search check.unidim checkRel compute_score compute_scores corResid createGroup fitStats generate_data generic_model gpcm gpcm_dif itemfit pcm pcm_dif personfit plot_EVC plot_fitStats plot_ICC plot_PImap plot_search residCor stepwise_search

Dependencies:codetools doParallel foreach iterators lavaan MASS mnormt numDeriv pbivnorm quadprog Rcpp RcppArmadillo

autoRasch: The Semi-automated Rasch Analysis

Rendered fromsearch.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2022-10-19
Started: 2022-02-28

autoRasch: Working with the models

John Doe

Rendered frommodels.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2022-02-28
Started: 2022-02-28

Citation

Readme and manuals

Help Manual

Help page	Topics
autoRasch: A package for semi-automatic Rasch analysis	autoRasch
autoRasch Optimization Parameters Setting	autoRaschOptions
Unidimensionality Check	check.unidim
Compute Reliability and Standard Error	checkRel summary.seprel
Compute the In-plus-out-of-questionnaire log likelihood (with DIF) (IPOQ-LL(-DIF))	compute_score compute_scores summary.score
Multidimensional polytomous data set with 0.2 correlation	correl02_multidim
Multidimensional polytomous data set with 0.3 correlation	correl03_multidim
Multidimensional polytomous data set with 0.4 Correlation	correl04_multidim
Multidimensional polytomous data set with 0.5 Correlation	correl05_multidim
Multidimensional polytomous data set with 0.6 Correlation	correl06_multidim
Create Mapping Matrix of DIF Groups	createGroup
The Simulated Dataset	dataset
Inhomogenous Dichotomous Data Set	dicho_inh_dset
Uncorrelated Multidimensional Dichotomous Data Set	dicho_md_dset
Fit statistics	fitStats itemfit personfit plot_fitStats summary.fit
Generate the artificial dataset	generate_data
Estimation of the generic form of the models	generic_model
Estimation of The Generalized Partial Credit Model	gpcm print.gpcm summary.gpcm
Estimation of The Generalized Partial Credit Model with DIF	gpcm_dif print.gpcmdif summary.gpcmdif
Estimation of The Partial Credit Model (PCM)	fitStats.pcm pcm print.pcm summary.pcm
Estimation of The Partial Credit Model with DIF	fitStats.pcmdif pcm_dif print.pcmdif summary.pcmdif
Plot The Expected Value Curves	plot_EVC
Plot The Item Characteristic Curves	plot_ICC
Plot The Person-Item Map	plot_PImap
The Inhomogenous Polytomous Dataset	poly_inh_dset
Uncorrelated Multidimensional Polytomous Data Set	poly_md_dset
The Inhomogenous Polytomous Dataset containing DIF items	polydif_inh_dset
Residual Correlation	corResid residCor summary.ld
A Shorter Inhomogenous Polytomous Dataset	short_poly_data
A Shorter Polytomous Dataset with DIF	shortDIF
Stepwise Selection Search	backward_search plot_search print.search stepwise_search summary.search
Multi-testlets Polytomous Data Set	testlets_dataset
Within-item Multidimensional Polytomous Data Set	withinItem_multidim