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eRm (version 1.0-2)

Extended Rasch Modeling

Description

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.

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Version

Install

install.packages('eRm')

Monthly Downloads

2,091

Version

1.0-2

License

GPL-3

Maintainer

Patrick Mair

Last Published

February 15th, 2021

Functions in eRm (1.0-2)

MLoef

Martin-Löf's Likelihood-Ratio-Test
LRSM

Estimation of linear rating scale models
LLRA

Fit Linear Logistic Models with Relaxed Assumptions (LLRA)
LLTM

Estimation of linear logistic test models
LPCM

Estimation of linear partial credit models
IC

Information criteria
PCM

Estimation of partial credit models
NonparametricTests

A Function to Perform Nonparametric Rasch Model Tests
anova.llra

Analysis of Deviance for Linear Logistic Models with Relaxed Assumptions
PersonMisfit

Person Misfit
RSctr

Control Object
LRtest

Computation of Andersen's LR-test.
RaschSampler

Rasch Sampler Package
gofIRT

Various model tests and fit indices
item_info

Calculate Item Information for 'eRm' objects
RSmpl

Sample Objects
plotGR

Plot Treatment or Covariate Effects for LLRA
Separation Reliability

Person Separation Reliability
plotICC

ICC Plots
rsextrmat

Extracting a Matrix
summary.RSctr

Summary Method for Control Objects
rsextrobj

Extracting Encoded Sample Matrices
Analysis of Deviances

Analysis of Deviances for Rasch Models
build_W

Automatized Construction of LLRA Design Matrix
Waldtest

Item-Specific Wald Test
llraDat1

An Artificial LLRA Data Set
RSM

Estimation of rating scale models
RM

Estimation of Rasch Models
summary.RSmpl

Summary Methods for Sample Objects
collapse_W

Convenient Collapsing of LLRA Design Matrix
llradat3

An Artificial LLRA Data Set
eRm.data

Data for Computing Extended Rasch Models
print.eRm

Methods for extended Rasch models
predict.ppar

Predict methods
sim.locdep

Simulation locally dependent items
llraDat2

An Artificial LLRA Data Set
phi.range

Example User Function
sim.rasch

Simulation of Rasch homogeneous data
person.parameter

Estimation of Person Parameters
plotDIF

Confidence intervals plot of item parameter estimates.
xmpl

Example Data
thresholds

Computation of item-category treshold parameters.
plotINFO

Plot Information For 'eRm' objects
rsctrl

Controls for the Sampling Function
rsampler

Sampling Binary Matrices
llra.datprep

Prepare Data Set for LLRA Analysis
itemfit.ppar

Residuals, Personfit and Itemfit Statistics
rstats

Calculating Statistics for the Sampled Matrices
sim.2pl

Simulation of 2-PL Data
plotPWmap

Pathway Map
summary.llra

Summarizing Linear Logistic Models with Relaxed Assumptions (LLRA)
plotTR

Plot Trend Effects for LLRA
plotPImap

Person-Item Map
sim.xdim

Simulation of multidimensional binary data
test_info

Calculate Test Information For eRm objects
stepwiseIt

Stepwise item elimination