IRT                     Compute expected probability for a single
                        dichotomous item
bench                   Benchmark Procedure
define_targets          Define theta targets
i_info                  Item Information Function (single item,
                        I_i(theta))
irt_estimate            Estimate of theta via Maximum Likelihood
isa                     Item Selection Algorithm
item_info               Item Information Functions (multiple items,
                        I_i(theta))
logLik_theta            Log-likelihood estimation of theta
mpirt                   Compute expected probability for multiple
                        dichotomous items
obsirt                  Simulate dichotomous responses according to IRT
                        probabilities
plot.bench              Method for plotting the TIF of the test/short
                        test form
plot.iifs               Method for plotting the item information
                        functions
plot.isa                Method for plotting the TIF of the test/short
                        test form
plot.theta_target       Method for plotting the TIF of the test/short
                        test form
plot.tif                Plot TIF
summary.bench           Method for the summary of the test/short test
                        form
summary.isa             Method for the summary of the test/short test
                        form
summary.theta_target    Method for the summary of the test/short test
                        form
theta_target            Theta target procedure
tif                     Test Information Function (TIF)
