Man pages for UO-BRT/exirt
Analyze data from the Oregon Extended Assessment

bind_dfs	Bind a list of data frames together
convert_theta	convert raw score to theta and proficiency estimates
create_anchors	Function for creating an anchor file for analysis
create_pattern_frame	Create a patterned data frame for all possible raw scores
estimate_abilities	High-level function to estimate/create student estimates
estimate_ft_difficulties	High-level function to estimate/create item difficulty...
estimate_theta	Estimate person abilities
exirt-package	exirt: Analyze data from the Oregon Extended Assessment
get_ft_items	Get field test item IDs from a single model or list of models
get_item_diffs	Get item difficulties from a single model or list of models
get_person_estimates	Get person abilities
iif	Item information function
infer_test	Function to infer the test type based on the item ids.
is_item	checks if column names in a data frame is is an item
paste_collapse	Paste a list together
prep_items	Function for selecting and prepping item data
prob	Estimate the probability of a correct response
pull_cuts	use the 'cuts.R' file to get the cut values for proficiency...
pull_item_diffs	Pull item difficulties from a single model
rasch	Function estimate Rasch models
rasch_	Internal function to estimate a Rasch model
raw_to_rit	Raw to RIT conversions
raw_to_scale	get scaled scores for all raw values
raw_to_scale_subscores	obtain raw to scale scores for the ELA subgroups
round2	Implement standard rounding, rather than R's rounding
tcc	Estimate the expected total score for any values of theta
tcc_	Create a dataframe used to make test characteristic curves
tcc_plot	Produce Test Characteristic Curve Plots
tif	Test information function
tif_	Test information function
tif_plot	Plot the test information function
tif_plot_	Internal function that uses 'tif()' output