Classification Accuracy and Consistency under IRT models.

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Documentation for package ‘classify’ version 1.2

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classify-package Classification Accuracy and Consistency under IRT models.
across-reps Class '"classification"'
across.reps Summarises classification values across bugs or jags replications
across.reps-method Summarises classification values across bugs or jags replications
across.reps-methods Summarises classification values across bugs or jags replications
beta.list Extract Beta Values from Bugs Sims File
biology Polytomous Responses from 200 Candidates to 31 Questions
classification Class '"classification"'
classification-class Class '"classification"'
classify Calculate Classification Statistics
classify.bug Classification Accuracy and Consistency from Bugs Replicate Parameters
expected.rc Expected scores under the PCM or the GPCM.
gpcm Generalised Partial Credit Model Derived Probabilities
gpcm.bug Extract IRT Model Parameters from Bugs Models
gpcm.rc IRT Derived Predicted Conditional Number Correct Score Distribution
pcm Partial Credit Model Derived Probabilities
physics Dichotomous Responses from 200 Candidates to 25 Questions
plot.classification Plot Methods for Classification and Scores s4 objects
plot.scores Plot Methods for Classification and Scores s4 objects
rasch Rasch Derived Probabilities
scores-class Class '"scores"'
scores-method Class '"scores"'
scores.gpcm.bug Expected and Conditional Summed Score Distributions
summary Summary Statistics for S4 Class Classification
summary-method Summary Statistics for S4 Class Classification
summary-methods Summary Statistics for S4 Class Classification
thpl Three Parameter IRT Model Derived Probabilities
tpl Two Parameter IRT Model Derived Probabilities
wlord Lord and Wingersky Recursion Formula