Package: eRm 1.0-6

Patrick Mair

eRm: Extended Rasch Modeling

Fits Rasch models (RM), linear logistic test models (LLTM), rating scale model (RSM), linear rating scale models (LRSM), partial credit models (PCM), and linear partial credit models (LPCM). Missing values are allowed in the data matrix. Additional features are the ML estimation of the person parameters, Andersen's LR-test, item-specific Wald test, Martin-Loef-Test, nonparametric Monte-Carlo Tests, itemfit and personfit statistics including infit and outfit measures, ICC and other plots, automated stepwise item elimination, simulation module for various binary data matrices.

Authors:Patrick Mair [cre, aut], Thomas Rusch [aut], Reinhold Hatzinger [aut], Marco J. Maier [aut], Rudolf Debelak [ctb]

eRm_1.0-6.tar.gz
eRm_1.0-6.tar.gz(r-4.5-noble)eRm_1.0-6.tar.gz(r-4.4-noble)
eRm.pdf |eRm.html✨
eRm/json (API)
NEWS

# Install 'eRm' in R:
install.packages('eRm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • llraDat1 - An Artificial LLRA Data Set
  • llraDat2 - An Artificial LLRA Data Set
  • llradat3 - An Artificial LLRA Data Set
  • lltmdat1 - Data for Computing Extended Rasch Models
  • lltmdat2 - Data for Computing Extended Rasch Models
  • lpcmdat - Data for Computing Extended Rasch Models
  • lrsmdat - Data for Computing Extended Rasch Models
  • pcmdat - Data for Computing Extended Rasch Models
  • pcmdat2 - Data for Computing Extended Rasch Models
  • raschdat1 - Data for Computing Extended Rasch Models
  • raschdat1_RM_fitted - Data for Computing Extended Rasch Models
  • raschdat1_RM_lrres2 - Data for Computing Extended Rasch Models
  • raschdat1_RM_plotDIF - Data for Computing Extended Rasch Models
  • raschdat2 - Data for Computing Extended Rasch Models
  • raschdat3 - Data for Computing Extended Rasch Models
  • raschdat4 - Data for Computing Extended Rasch Models
  • rsmdat - Data for Computing Extended Rasch Models
  • xmpl - Example Data
  • xmplbig - Example Data

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

fortran

6.73 score 4 stars 5 packages 190 scripts 2.4k downloads 24 mentions 46 exports 8 dependencies

Last updated 10 months agofrom:256eb1eaaa. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 27 2024
R-4.5-linux-x86_64OKDec 27 2024

Exports:build_Wcollapse_WgofIRTi_infoICitem_infoitemfitLLRAllra.datprepLLTMLPCMLRSMLRtestMLoefNPtestPCMperson.parameterpersonfitPersonMisfitphi.rangeplotDIFplotGOFplotGRplotICCplotINFOplotjointICCplotPImapplotPWmapplotTRpmatRMrsamplerrsctrlrsextrmatrsextrobjRSMrstatsSepRelsim.2plsim.locdepsim.raschsim.xdimstepwiseIttest_infothresholdsWaldtest

Dependencies:colorspaceGPArotationlatticeMASSMatrixmnormtnlmepsych

eRm Basics

Rendered fromeRm.Rnwusingutils::Sweaveon Dec 27 2024.

Last update: 2018-10-03
Started: 2013-12-06

Readme and manuals

Help Manual

Help pageTopics
Analysis of Deviances for Rasch Modelsanova.eRm print.eRm_anova
Analysis of Deviance for Linear Logistic Models with Relaxed Assumptionsanova.llra
Automatized Construction of LLRA Design Matrixbuild_catdes build_effdes build_trdes build_W get_item_cats
Convenient Collapsing of LLRA Design Matrixcollapse_W
Data for Computing Extended Rasch ModelseRm.data lltmdat1 lltmdat2 lpcmdat lrsmdat pcmdat pcmdat2 raschdat1 raschdat1_RM_fitted raschdat1_RM_lrres2 raschdat1_RM_plotDIF raschdat2 raschdat3 raschdat4 rsmdat
Various model tests and fit indicesgofIRT gofIRT.ppar print.gof summary.gof
Information criteriaIC IC.ppar
Calculate Item Information for 'eRm' objectsitem_info i_info
Residuals, Personfit and Itemfit Statisticsitemfit itemfit.ppar personfit personfit.ppar pmat pmat.ppar print.ifit print.pfit print.resid residuals.ppar
Fit Linear Logistic Models with Relaxed Assumptions (LLRA)LLRA print.llra
Prepare Data Set for LLRA Analysisllra.datprep
An Artificial LLRA Data SetllraDat1
An Artificial LLRA Data SetllraDat2
An Artificial LLRA Data Setllradat3
Estimation of linear logistic test modelsLLTM
Estimation of linear partial credit modelsLPCM
Estimation of linear rating scale modelsLRSM
Computation of Andersen's LR-test.LRtest LRtest.Rm plotGOF plotGOF.LR print.LR summary.LR
Martin-Löf's Likelihood-Ratio-TestMLoef print.MLoef summary.MLoef
A Function to Perform Nonparametric Rasch Model TestsNonparametricTests NPtest
Estimation of partial credit modelsPCM
Estimation of Person Parameterscoef.ppar confint.ppar logLik.ppar person.parameter person.parameter.eRm plot.ppar print.logLik.ppar print.ppar summary.ppar
Person MisfitPersonMisfit PersonMisfit.ppar
Example User Functionphi.range
Confidence intervals plot of item parameter estimates.plotDIF
Plot Treatment or Covariate Effects for LLRAplotGR
ICC PlotsplotICC plotICC.Rm plotjointICC plotjointICC.dRm
Plot Information For ''eRm'' objectsplotINFO
Person-Item MapplotPImap
Pathway MapplotPWmap
Plot Trend Effects for LLRAplotTR
Predict methodspredict.ppar
Methods for extended Rasch modelscoef.eRm confint.eRm logLik.eRm model.matrix.eRm print.eRm summary.eRm vcov.eRm
Rasch Sampler PackageRaschSampler
Estimation of Rasch ModelsRM
Sampling Binary Matricesrsampler
Control ObjectRSctr
Controls for the Sampling Functionrsctrl
Extracting a Matrixrsextrmat
Extracting Encoded Sample Matricesrsextrobj
Estimation of rating scale modelsRSM
Sample ObjectsRSmpl RSmplext
Calculating Statistics for the Sampled Matricesrstats
Person Separation Reliabilityprint.eRm_SepRel SepRel summary.eRm_SepRel
Simulation of 2-PL Datasim.2pl
Simulation locally dependent itemssim.locdep
Simulation of Rasch homogeneous datasim.rasch
Simulation of multidimensional binary datasim.xdim
Stepwise item eliminationprint.step stepwiseIt stepwiseIt.eRm
Summarizing Linear Logistic Models with Relaxed Assumptions (LLRA)print.summary.llra summary.llra
Summary Method for Control Objectssummary.RSctr
Summary Methods for Sample Objectssummary.RSmpl summary.RSmplext
Calculate Test Information For 'eRm' objectstest_info
Computation of item-category treshold parameters.confint.threshold print.threshold summary.threshold thresholds thresholds.eRm
Item-Specific Wald Testprint.wald Waldtest Waldtest.Rm
Example Dataxmpl xmplbig