Extended Rasch Modeling
Analysis of Deviance for Linear Logistic Models with Relaxed Assumptio...
Automatized Construction of LLRA Design Matrix
Various model tests and fit indices
Information criteria
Calculate Item Information for 'eRm' objects
Residuals, Personfit and Itemfit Statistics
Prepare Data Set for LLRA Analysis
Fit Linear Logistic Models with Relaxed Assumptions (LLRA)
Estimation of linear logistic test models
Estimation of linear partial credit models
Estimation of linear rating scale models
Computation of Andersen's LR-test.
Convenient Collapsing of LLRA Design Matrix
Data for Computing Extended Rasch Models
Analysis of Deviances for Rasch Models
Martin-Löf's Likelihood-Ratio-Test
A Function to Perform Nonparametric Rasch Model Tests
Estimation of partial credit models
Estimation of Person Parameters
Person Misfit
Example User Function
Confidence intervals plot of item parameter estimates.
Plot Treatment or Covariate Effects for LLRA
ICC Plots
Plot Information For 'eRm' objects
Person-Item Map
Pathway Map
Plot Trend Effects for LLRA
Predict methods
Methods for extended Rasch models
Rasch Sampler Package
Estimation of Rasch Models
Sampling Binary Matrices
Control Object
Controls for the Sampling Function
Extracting a Matrix
Extracting Encoded Sample Matrices
Estimation of rating scale models
Sample Objects
Calculating Statistics for the Sampled Matrices
Person Separation Reliability
Simulation of 2-PL Data
Simulation locally dependent items
Simulation of Rasch homogeneous data
Simulation of multidimensional binary data
Stepwise item elimination
Summarizing Linear Logistic Models with Relaxed Assumptions (LLRA)
Summary Method for Control Objects
Summary Methods for Sample Objects
Calculate Test Information For eRm objects
Computation of item-category treshold parameters.
Item-Specific Wald Test
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.