Package index • bspam

Main Functions

Main functions for data preparation, model calibration, and scoring.

prep(): This file includes utilities of bspam package.

get.cases(): Returns cases (person and occasion) applied in [fit.model] function.

fit.model(): Estimate the model parameters

scoring(): Estimate factor scores with task-level model

Plotting Functions

Functions for visualizing calibration and scoring results.

plot(<task>): Plot function to show graph of fit.model class

plot(<person>): Plot function to show graph of scoring class

plot(<wcpm>): Plot function to show graph of wcpm information from scoring class

plot(<information>): Plot function to show information of calibration

Advanced and Utility Functions

Additional exported functions for advanced analyses and data processing.

fit.model.testlet(): Fit model with testlet

run.mcem(): Base function for fitting the speed-accuracy model by MCEM

agg.word(): agg.word function to aggregate word information to sentence or passage level

desc.data(): desc.data function to describe data information

Example Data and Results

Example data sets and calibration results included with bspam.

passage2: Passage-level Oral Reading Fluency assessment data set

sentence.level.data: Sentence-level Oral Reading Fluency assessment data set

sentence.cens.low: Sentence-level data set with low censoring

sentence.cens.high: Sentence-level data set with high censoring

passage.calib.mcem: Task calibration example output object by MCEM

passage.calib.bayes: Task calibration example output object by Bayes