lazy.girt {lazy.girt} | R Documentation |
The following are the classes of the functions.
guIRT: Item Parameter Estimation of Unidimensional IRT
est_thetaphi: Estimation of Theta
girf Calculation of Item Response Function
gicrfB: Calculation of item Response Function of Binary Logisticitems
gicrfG: Calculation of item Response Function of Graded Responseitems
dgirf_p: Calculation of the Derivative of item Response Function with respect to Item Parameters
checkparam: Checking Parameter Data Frame
gendata_gIRT: Generation of Simulated Item Response Data
generate_thetaphi: Genration of theta-phi grid
dummy_expand: dummy_expand the compressed item response data.
dummy_compress: compress the uncompressed item response data.
find_mode: Find the Mode of icrf
find_intersection: Find the Intersection of icrfs
gordinal_reg: Oridinal Regression (used in uIRT)
dgbeta: pdf of the generalized beta distribution.
rgbeta: random number from the generalized beta distribution.
ab2ms: get (mean,std) from (a,b) of beta distribution.
ms2ab: get (alpha, beta) from (mean, std) of beta distribution.
param_EQ5: Binary Item Parameter Data Frame
param_EQ7: Binary Item Parameter Data Frame
param_EQ9: Binary Item Parameter Data Frame
param_EQS5: Binary Item Parameter Data Frame
param_EQS7: Binary Item Parameter Data Frame
param_EQS9: Binary Item Parameter Data Frame
Uc_5: All possible item responses of 5 item tests
Uc_7: All possible item responses of 7 item tests
Uc_9: All possible item responses of 9 item tests