Speed-Accuracy Psychometric Modeling for Binomial Count Outcome Data

Documentation for package ‘bspam’ version 1.2.6

agg.word	Aggregate word-level ORF data
desc.data	Summarize response data
fit.model	Fit the speed-accuracy psychometric model
fit.model.testlet	Fit the speed-accuracy testlet model
get.cases	Create person-by-occasion case identifiers
passage.calib.bayes	Task calibration example output object by Bayes
passage.calib.mcem	Task calibration example output object by MCEM
passage2	Passage-level Oral Reading Fluency assessment data set
plot.information	Plot model-based WCPM information
plot.person	Plot estimated person scores
plot.task	Plot calibrated task parameters
plot.wcpm	Plot observed versus model-based WCPM
prep	Prepare response data for bspam analyses
run.mcem	Fit the speed-accuracy model by Monte Carlo EM
run.scoring	Estimate person scores by likelihood-based methods
scoring	Estimate person scores from a calibrated speed-accuracy model
sentence.cens.high	Sentence-level data set with high censoring
sentence.cens.low	Sentence-level data set with low censoring
sentence.level.data	Sentence-level Oral Reading Fluency assessment data set
summary.bootstrap	Summarize bootstrap scoring results
summary.fit.model	Summarize a fitted bspam model
summary.fit.model.testlet	Summarize a fitted testlet model
summary.scoring	Summarize bspam scoring results