base.c | Common functions |
classical.c | Classical test theory |
eap_ability.c | Functions to estimate the abilities by EAP |
em_bme_3plm.c | Functions to estimate the item parameters by MMLE/EM-BME |
fit_test.c | Log likelihood ratio test for goodness of fit |
import.c | Functions to read data files |
info_function.c | Information functions |
irt.c | A command line program to estimate items and abilities in a IRT model |
ld_test.c | Log likelihood ratio test for local independance |
libirt.h | The exported functions definition of the libirt library |
mirt.c | A command line program to estimate items and abilities in a multiple choice IRT model |
mle_ability_3plm.c | Functions to estimate the abilities by ML |
mmle_2plm_grad.c | Functions to estimate multiple choice item parameters by MMLE (Maximal Marginal Likelihood). The model is the graded model |
mmle_2plm_mc.c | Functions to estimate the multiple choice item parameters by MMLE (Maximal Marginal Likelihood). The model is the multivariate logistic |
nadaraya_watson.c | Functions to estimate the item response functions by Nadaraya-Watson. (Kernel smoothing, Testgraf) |
nadaraya_watson_mc.c | Functions to estimate the option response functions by Nadaraya-Watson. (Kernel smoothing, Testgraf) |
pmmle_wave.c | Functions to estimate the item parameters by PMMLE (Penalized Maximal Marginal Likelihood) |
pmmle_wave_mc.c | Functions to estimate the multiple choice item parameters by PMMLE (Penalized Maximal Marginal Likelihood) |
polyserial.c | Polyserial correlation |
wmle_ability.c | Warm's Weighted Maximum Likelihood of the abilities |
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