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eRm (version 1.0-1)

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

2,637

Version

1.0-1

License

GPL-3

Maintainer

Patrick Mair

Last Published

March 3rd, 2020

Functions in eRm (1.0-1)

RSctr

Control Object
RSM

Estimation of rating scale models
anova.llra

Analysis of Deviance for Linear Logistic Models with Relaxed Assumptions
build_W

Automatized Construction of LLRA Design Matrix
RM

Estimation of Rasch Models
Analysis of Deviances

Analysis of Deviances for Rasch Models
Waldtest

Item-Specific Wald Test
Separation Reliability

Person Separation Reliability
collapse_W

Convenient Collapsing of LLRA Design Matrix
RaschSampler

Rasch Sampler Package
NonparametricTests

A Function to Perform Nonparametric Rasch Model Tests
plotTR

Plot Trend Effects for LLRA
llradat3

An Artificial LLRA Data Set
llraDat1

An Artificial LLRA Data Set
person.parameter

Estimation of Person Parameters
eRm.data

Data for Computing Extended Rasch Models
llraDat2

An Artificial LLRA Data Set
itemfit.ppar

Residuals, Personfit and Itemfit Statistics
rsampler

Sampling Binary Matrices
plotPWmap

Pathway Map
predict.ppar

Predict methods
print.eRm

Methods for extended Rasch models
item_info

Calculate Item Information for 'eRm' objects
plotGR

Plot Treatment or Covariate Effects for LLRA
gofIRT

Various model tests and fit indices
rsctrl

Controls for the Sampling Function
plotINFO

Plot Information For 'eRm' objects
llra.datprep

Prepare Data Set for LLRA Analysis
rstats

Calculating Statistics for the Sampled Matrices
RSmpl

Sample Objects
sim.2pl

Simulation of 2-PL Data
sim.xdim

Simulation of multidimensional binary data
plotICC

ICC Plots
sim.rasch

Simulation of Rasch homogeneous data
phi.range

Example User Function
plotDIF

Confidence intervals plot of item parameter estimates.
sim.locdep

Simulation locally dependent items
plotPImap

Person-Item Map
stepwiseIt

Stepwise item elimination
thresholds

Computation of item-category treshold parameters.
summary.RSctr

Summary Method for Control Objects
xmpl

Example Data
summary.RSmpl

Summary Methods for Sample Objects
rsextrmat

Extracting a Matrix
summary.llra

Summarizing Linear Logistic Models with Relaxed Assumptions (LLRA)
test_info

Calculate Test Information For eRm objects
rsextrobj

Extracting Encoded Sample Matrices
PCM

Estimation of partial credit models
LLRA

Fit Linear Logistic Models with Relaxed Assumptions (LLRA)
LPCM

Estimation of linear partial credit models
LRSM

Estimation of linear rating scale models
LRtest

Computation of Andersen's LR-test.
LLTM

Estimation of linear logistic test models
MLoef

Martin-L<U+00F6>f's Likelihood-Ratio-Test
IC

Information criteria
PersonMisfit

Person Misfit