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TAM (version 0.04-43)

Test Analysis Modules

Description

The package includes marginal and joint maximum likelihood estimation of uni- and multidimensional item response models (Rasch, 2PL, Generalized Partial Credit, Rating Scale, Multi Facets), fit statistics, standard error estimation, as well as plausible value imputation and weighted likelihood estimation of ability.

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Version

Install

install.packages('TAM')

Monthly Downloads

3,732

Version

0.04-43

License

GPL (>= 2)

Maintainer

Thomas Kiefer

Last Published

July 1st, 2013

Functions in TAM (0.04-43)

data.examples

Data Examples in TAM Package
tam.fit

Item Infit and Outfit Statistic
sim.mfr

Simulated Multifaceted Data
designMatrices

Generation of Design Matrices
tam.threshold

Calculation of Thurstonian Thresholds
data.mc

Data Set with Raw and Scored Responses from Multiple Choice Items
tam.ctt

Classical Test Theory Based Statistics
sim.rasch

Simulated Rasch data
tam.se

Standard Error Estimation
anova.tam

Likelihood Ratio Test for Model Comparisons
tam.pv

Plausible Value Imputation
data.gpcm

Data set with ordered indicators
TAM-internal

Computation of intermediate information
tam.jml

Joint Maximum Likelihood Estimation
tam

Test Analysis Modules: Marginal Maximum Likelihood Estimation
summary.tam

Summary Method for Objects of Class tam or tam.mml
TAM-package

Test Analysis Modules
tam.wle

Weighted Likelihood Estimation and Maximum Likelihood Estimation of Person Parameters