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eRm (version 0.9-2)

Extended Rasch Modeling.

Description

eRm 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 estimation of the person parameters, LR-Model test, item-specific Wald test, itemfit and personfit statistics, various ICC plots. An eRm platform is provided at http://r-forge.r-project.org/projects/erm/.

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Version

Install

install.packages('eRm')

Monthly Downloads

2,637

Version

0.9-2

License

GPL

Maintainer

Patrick Mair

Last Published

September 28th, 2023

Functions in eRm (0.9-2)

LLTM

Estimation of linear logistic test models
PCM

Estimation of partial credit models
eRm-package

extended Rasch modeling
LRSM

Estimation of linear rating scale models
LPCM

Estimation of linear partial credit models
print.eRm

Methods for extended Rasch models
itemfit.ppar

Residuals, Personfit and Itemfit Statistics
thresholds

Computation of item-category treshold parameters.
RSM

Estimation of rating scale models
RM

Estimation of Rasch Models
person.parameter

Estimation of Person Parameters
LRtest

Computation of Andersen's LR-test.
raschdat1

Data for Computing Extended Rasch Models
plotICC

ICC and Goodness-of-Fit Plots
Waldtest

Item-Specific Wald Test