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eRm (version 0.15-6)

Extended Rasch Modeling

Description

The eRm package 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-Löf-Test, nonparametric Monte-Carlo Tests, itemfit and personfit statistics including infit and outfit measures, various ICC and related plots, automated stepwise item elimination, simulation module for various binary data matrices. An eRm platform is provided at R-forge (see URL).

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Version

Install

install.packages('eRm')

Monthly Downloads

2,637

Version

0.15-6

License

GPL-2

Maintainer

Patrick Mair

Last Published

November 12th, 2015

Functions in eRm (0.15-6)

RSctr

Control Object
sim.xdim

Simulation of multidimensional binary data
thresholds

Computation of item-category treshold parameters.
eRm-package

extended Rasch modeling
LPCM

Estimation of linear partial credit models
print.eRm

Methods for extended Rasch models
RSmpl

Sample Objects
test_info

Calculate Test Information For eRm objects
LLTM

Estimation of linear logistic test models
PCM

Estimation of partial credit models
sim.2pl

Simulation of 2-PL Data
LRtest

Computation of Andersen's LR-test.
MLoef

Martin-Löf's Likelihood-Ratio-Test
NonparametricTests

A Function to Perform Nonparametric Rasch Model Tests
summary.RSmpl

Summary Methods for Sample Objects
RSM

Estimation of rating scale models
plotDIF

Confidence intervals plot of item parameter estimates.
plotICC

ICC Plots
rsampler

Sampling Binary Matrices
llra.datprep

Prepare Data Set for LLRA Analysis
anova.llra

Analysis of Deviance for Linear Logistic Models with Relaxed Assumptions
summary.RSctr

Summary Method for Control Objects
plotGR

Plot Treatment or Covariate Effects for LLRA
llraDat2

An Artificial LLRA Data Set
phi.range

Example User Function
xmpl

Example Data
Analysis of Deviances

Analysis of Deviances for Rasch Models
llraDat1

An Artificial LLRA Data Set
rsctrl

Controls for the Sampling Function
summary.llra

Summarizing Linear Logistic Models with Relaxed Assumptions (LLRA)
plotPWmap

Pathway Map
plotTR

Plot Trend Effects for LLRA
gofIRT

Various model tests and fit indices
person.parameter

Estimation of Person Parameters
sim.rasch

Simulation of Rasch homogeneous data
collapse_W

Convenient Collapsing of LLRA Design Matrix
eRm.data

Data for Computing Extended Rasch Models
rsextrmat

Extracting a Matrix
sim.locdep

Simulation locally dependent items
RaschSampler

Rasch Sampler Package
build_W

Automatized Construction of LLRA Design Matrix
itemfit.ppar

Residuals, Personfit and Itemfit Statistics
item_info

Calculate Item Information for 'eRm' objects
llradat3

An Artificial LLRA Data Set
IC

Information criteria
Waldtest

Item-Specific Wald Test
rstats

Calculating Statistics for the Sampled Matrices
stepwiseIt

Stepwise item elimination
predict.ppar

Predict methods
Separation Reliability

Person Separation Reliability
LRSM

Estimation of linear rating scale models
RM

Estimation of Rasch Models
rsextrobj

Extracting Encoded Sample Matrices
plotINFO

Plot Information For 'eRm' objects
LLRA

Fit Linear Logistic Models with Relaxed Assumptions (LLRA)
plotPImap

Person-Item Map